Marina Goche https://alpha-week.com/ en How Investors Can Use Digital Sentiment To Achieve Above-Benchmark Returns https://alpha-week.com/how-investors-can-use-digital-sentiment-achieve-above-benchmark-returns <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--title--features.html.twig x field--node--title.html.twig * field--node--features.html.twig * field--title.html.twig * field--string.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'core/modules/node/templates/field--node--title.html.twig' --> <span>How Investors Can Use Digital Sentiment To Achieve Above-Benchmark Returns</span> <!-- END OUTPUT from 'core/modules/node/templates/field--node--title.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--created--features.html.twig x field--node--created.html.twig * field--node--features.html.twig * field--created.html.twig * field--created.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'core/modules/node/templates/field--node--created.html.twig' --> <span>Mon, 04/24/2023 - 12:44</span> <!-- END OUTPUT from 'core/modules/node/templates/field--node--created.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--body--features.html.twig * field--node--body.html.twig * field--node--features.html.twig * field--body.html.twig * field--text-with-summary.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-body field--type-text-with-summary field--label-hidden field__item"><p><span><span><span><span><span>This year is set to be another unusual year for financial markets, as inflationary pressures and recessions continue to loom large. Complex geopolitical situations and supply chain issues are set to only exacerbate these pressing issues. </span></span></span></span></span></p> <p><span><span><span><span><span>At the same time, the ongoing scaling of blockchain and DeFi solutions continue to disrupt traditional business models. In such a volatile landscape, rife with risk and uncertainty, investors need to understand market sentiment, conduct comprehensive due diligence and respond with great agility. </span></span></span></span></span></p> <p><span><span><span><span><span>In this risk-off environment, investors need to take stock of the main volatility drivers within markets, identifying and considering exposure to key challenges and opportunities. </span></span></span></span></span></p> <p><strong><span><span><em><span><span>GameStop two years on</span></span></em></span></span></strong></p> <p><span><span><span><span>One of the biggest challenges facing investors in 2023 will be <span>delivering above benchmark returns. But to look at this, lets take a step back to the beginning of January 2021 when a group of retail investors largely on Reddit groups banded together to challenge hedge funds focused around GameStock.</span></span></span></span></span></p> <p><span><span><span><span><span>Two years on from the short squeeze of the GameStop stock, the likelihood of more meme stock rallies ought not be underestimated by investors. Chatter across online and digital channels will continue to grow exponentially in the path to web 3.0. </span></span></span></span></span></p> <p><span><span><span><span><span>The need to monitor these channels for fast moving investment signals in a recessionary environment and volatile financial markets will only increase in importance and relevance for both retail and institutional investors. In this type of environment a companies future can change in an instant, particular if it starts to head downhill. </span></span></span></span></span></p> <p><strong><span><span><em><span><span><span>The need for new perspectives </span></span></span></em></span></span></strong></p> <p><span><span><span><span><span><span>Traditional macro and micro economic data sets, with their embedded time lags, can’t effectively monitor the changing perception of risk in real-time, not only in the market at large, but also within specific sectors, industries, countries and regions. </span></span></span></span></span></span></p> <p><span><span><span><span><span><span>In a world where dynamic shifts can happen in an instant, investors need to </span></span></span></span><span lang="EN-US" xml:lang="EN-US"><span><span>monitor market momentum changes as they emerge in digital channels to make informed decisions around impact to portfolio valuation</span></span></span><span><span><span>; the Gamestop phenomenon demonstrated momentum changes in social media, news, forums and blogs can provide valuable indicators of likely direction of price movement. </span></span></span></span></span></p> <p><span><span><span><span><span>Organisations that have yet to embrace monitoring dynamic investment signals are likely to underperform peers who take a 360 degree approach to delivering above benchmark returns for their clients.</span></span></span></span></span></p> <p><strong><span><span><em><span><span><span>The tightening regulatory net</span></span></span></em></span></span></strong></p> <p><span><span><span><span><span>One of the biggest opportunities<strong> </strong>for financial markets is the intensification of financial regulation, particularly when it comes to crypto. Although it is already a heavily regulated industry, the wide adoption of blockchain, web 3.0 and digital assets by both institutional and retail investors in tandem with major market failures like FTX and the Terra Luna crash are going to attract more attention from regulators. </span></span></span></span></span></p> <p><span><span><span><span><span>For example, the UK Treasury has recently made their move on crypto with proposals announced to regulate the industry. These proposals currently covers all cryptoassets which are not currently in scope of the MiCA regulation and if acted on, will expand the Financial Services and Markets Act (<em>FSMA</em>) to include a list of “specified investments” to cover “cryptoassets”.</span></span></span></span></span></p> <p><span><span><span><span><span>These factors will significantly alter the risk profile of assets, and therefore returns. Investors need to consider how they assess whether an asset is deemed ‘safe.’ Traditional data alone cannot provide the necessary 360-degree view of the markets that is necessary to monitor and manage risk.</span></span></span></span></span></p> <p><span><span><span>Investors today need to supplement their analysis and due diligence with alternative data sets that monitor investment signals as they emerge in digital channels. Because it is here where the real opportunities can be found. </span></span></span></p> <p><span><span><span>**********</span></span></span></p> <p><em><strong>Marina Goche</strong> is CEO of <a href="https://sentifi.com/"><strong>Sentifi</strong></a></em></p> <p><em>***</em></p> <p><em>The views expressed in this article are those of the author and do not necessarily reflect the views of AlphaWeek or its publisher, The Sortino Group</em></p> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-tags--features.html.twig * field--node--field-tags.html.twig * field--node--features.html.twig * field--field-tags.html.twig * field--entity-reference.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-field-tags field--type-entity-reference field--label-hidden field__items"> <div class="field__item"><a href="/hedge-funds-guest-articles" hreflang="en">Hedge Funds Guest Articles</a></div> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <drupal-render-placeholder callback="flag.link_builder:build" arguments="0=node&amp;1=10019&amp;2=bookmark" token="rCdfj7v4iDZQpqaJ_IKxsjABjkrjzuR2JT4lBdhRr8Q"></drupal-render-placeholder> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-author--features.html.twig * field--node--field-author.html.twig * field--node--features.html.twig x field--field-author.html.twig * field--entity-reference.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field--field-author.html.twig' --> <a href="/author/marina-goche" hreflang="en">Marina Goche</a> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field--field-author.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-content-role--features.html.twig * field--node--field-content-role.html.twig * field--node--features.html.twig * field--field-content-role.html.twig * field--list-string.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-field-content-role field--type-list-string field--label-above"> <div class="field__label">Content role</div> <div class="field__item">Public</div> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> Mon, 24 Apr 2023 11:44:15 +0000 AlphaWeek Staff 10019 at https://alpha-week.com Alternative Data Is the New Paradigm for Monitoring Investment Risk https://alpha-week.com/alternative-data-new-paradigm-monitoring-investment-risk <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--title--features.html.twig x field--node--title.html.twig * field--node--features.html.twig * field--title.html.twig * field--string.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'core/modules/node/templates/field--node--title.html.twig' --> <span>Alternative Data Is the New Paradigm for Monitoring Investment Risk</span> <!-- END OUTPUT from 'core/modules/node/templates/field--node--title.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--created--features.html.twig x field--node--created.html.twig * field--node--features.html.twig * field--created.html.twig * field--created.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'core/modules/node/templates/field--node--created.html.twig' --> <span>Mon, 02/07/2022 - 08:18</span> <!-- END OUTPUT from 'core/modules/node/templates/field--node--created.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--body--features.html.twig * field--node--body.html.twig * field--node--features.html.twig * field--body.html.twig * field--text-with-summary.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-body field--type-text-with-summary field--label-hidden field__item"><p><span><span><span>As we begin 2022, we are all too aware of the levels of uncertainty surrounding us. The pandemic and its recovery continue to cast a shadow on every day life. The supply chain crisis remains a disruptive force, hitting stock prices and supermarket shelves alike, while the inflationary backdrop puts pressure on markets and economies worldwide. Topline - the 2022 outlook for investors is complex and riddled with risk. </span></span></span></p> <p><span><span><span>Reflecting on the lessons learned over 2021, a year similarly characterized by disruption and uncertainty, could prove helpful as we embark on a new year. January 2021 saw investors weather the Game Stop storm. Indeed, hedge funds lost $20bn over the course of 2021 due to meme stock rallies creating short squeezes that they were too late to identify and mitigate against. </span></span></span></p> <p><span><span><span><em>New year, new asset classes<strong>, new risks</strong></em></span></span></span></p> <p><span><span><span>As the various meme stock rallies demonstrated, retail investors are now congregating more readily in digital channels, driving asset prices in unexpected ways and thereby making returns more volatile than anticipated. The launch of more digital channels (NFT market places, for example) has provided further avenues for investors to establish new communities online, where investment bubbles can also build and dissipate in minutes. </span></span></span></p> <p><span><span><span>The rapid changes to risk profiles for assets, and therefore returns, have made investors re-evaluate assets historically deemed ‘safe’ and/ or forever immune to volatility. And the fact is that traditional data alone cannot provide the necessary 360 degree view of the markets that is necessary to monitor and manage risk. </span></span></span></p> <p><span><span><span>In order to accurately evaluate the impact of online sentiment to portfolio returns, investors now need to supplement their analysis with alternative data sets that monitor investment signals as they emerge in digital channels. </span></span></span></p> <p><span><span><span>Monitoring digital channels provided early warning systems of an upcoming short squeeze (Sentifi detected sentiment and attention buzz changes for Gamestop three weeks before the stock’s 351% price movement). For hedge fund managers who have not incorporated monitoring momentum changes from social media, news, forums and blogs into their investment decision making processes, the emergence of these new risk factors will likely to cause unanticipated impact to portfolio returns. </span></span></span></p> <p><span><span><span><strong>Monitoring the changing perception of systemic and systematic risk to make informed investment decisions</strong></span></span></span></p> <p><span><span><span>If 2021 taught institutional investors anything it was the need to acknowledge the correlation between online sentiment and market momentum changes. </span></span></span></p> <p><span><span><span>In essence, the new paradigm for risk management means monitoring market momentum changes as they emerge in digital channels to make informed decisions around impact to portfolio valuation. </span></span></span></p> <p><span><span><span>What can this type of monitoring highlight with respect to risk? Certainly, the need for alternative data extends to the assessment of systemic and systematic risk. Traditional macro and micro economic data sets, with their embedded time lags, cannot monitor the changing perception of risk in specific sectors, industries, countries and regions as well as in the broader market.</span></span></span></p> <p><span><span><span>Comparing the reports of risk events across sectors in the past twelve months vs. past three months in digital channels like Twitter, news, forums and blogs suggests that the perception of the risk profile of the real estate, health care and communication services sectors has degraded the most as risk scores increased by 11.11%, 9.68% and 9.09% respectively. Returns in the S&amp;P 500 real estate, health care and communication services sector indices has declined by approximately 4.94%, 4.65% and 2.69% respectively in the quarter to date (Source: S&amp;P Global – Quarter through Jan 10th 2022). It is clear that monitoring the changing risk profile of sectors in digital channels provides additional insights on the potential impact of changing risk profiles for specific sectors to portfolio returns.</span></span></span></p> <p><span><span><span>From a regional perspective, the perception of risk from risk events reported in digital channels like twitter, news, forums and blogs has improved the most for the United Kingdom and Australia and New Zealand with a decrease of 20.51% and 14.29% in their respective risk scores. By contrast, the risk profile of Japan and North America has increased by 8.82% and 6.25% respectively. </span></span></span></p> <p><span><span><span>As the recovery from the global pandemic starts to materialize in different ways across regions, sectors, industries and individual companies, not monitoring digital channels for an evaluation of investment risk could mean that institutional investors have blindspots that degrade portfolio value in unexpected ways. </span></span></span></p> <p><span><span><span><strong>Monitoring the changing perception of risk associated with digital asset classes</strong></span></span></span></p> <p><span><span><span>In 2022 volatility is expected to continue for digital assets whose valuation is largely driven by market sentiment. Monitoring momentum changes in social media, news, forums and blogs provides indicators of likely direction of price movements.</span></span></span></p> <p><span><span><span>Chart 1 below depicts the inverse relationship between the Sentifi Bitcoin Risk Score and the Bitcoin closing price. Sentifi’s Risk score is capturing sentiment/momentum (or market confidence) in bitcoin. As prices rise and more investors are attracted to Bitcoin as an investment, the volume of positive mentions in social media, news, forums and blogs outweighs the volume of negative mentions. Sentifi’s risk score captures this momentum change. </span></span></span></p> <p><span><span><span>Periods where Sentifi’s risk score for bitcoin is low (i.e., when market confidence in bitcoin is high) coincide with periods where the closing price of bitcoin peaked. Monitoring this new indicator therefore signals when the downside risk for Bitcoin is significant. </span></span></span></p> <p><img alt="Sentifi" data-entity-type="file" data-entity-uuid="fb51e05d-0ae5-49b7-89ae-394e295eb61a" src="https://www.alpha-week.com/sites/default/files/inline-images/Sentifi-2022-02-07-A.png" width="550" height="359" loading="lazy" /></p> <p><span><span><span>As we step into 2022, investors need to adjust to a new paradigm for monitoring investment risk - consulting alternative data will only better improve investment decisions.</span></span></span></p> <p><span><span><span>**********</span></span></span></p> <p><em><span><span><span><strong>Marina Goche</strong> is CEO of <a href="https://sentifi.com/"><strong>Sentifi</strong></a></span></span></span></em></p> <p><em><span><span><span>***</span></span></span></em></p> <p><em>The views expressed in this article are those of the author and do not necessarily reflect the views of AlphaWeek or its publisher, The Sortino Group</em></p></div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-tags--features.html.twig * field--node--field-tags.html.twig * field--node--features.html.twig * field--field-tags.html.twig * field--entity-reference.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-field-tags field--type-entity-reference field--label-hidden field__items"> <div class="field__item"><a href="/hedge-funds-guest-articles" hreflang="en">Hedge Funds Guest Articles</a></div> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <drupal-render-placeholder callback="flag.link_builder:build" arguments="0=node&amp;1=9143&amp;2=bookmark" token="EwrKISIwhGlNE4vTVwGoY-1L8t3bfXqPOajwnimlM_c"></drupal-render-placeholder> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-author--features.html.twig * field--node--field-author.html.twig * field--node--features.html.twig x field--field-author.html.twig * field--entity-reference.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field--field-author.html.twig' --> <a href="/author/marina-goche" hreflang="en">Marina Goche</a> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field--field-author.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-content-role--features.html.twig * field--node--field-content-role.html.twig * field--node--features.html.twig * field--field-content-role.html.twig * field--list-string.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-field-content-role field--type-list-string field--label-above"> <div class="field__label">Content role</div> <div class="field__item">Public</div> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> Mon, 07 Feb 2022 08:18:53 +0000 AlphaWeek Staff 9143 at https://alpha-week.com Alternative Data – The Key To Making Informed ESG Investment Decisions? https://alpha-week.com/alternative-data-key-making-informed-esg-investment-decisions <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--title--features.html.twig x field--node--title.html.twig * field--node--features.html.twig * field--title.html.twig * field--string.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'core/modules/node/templates/field--node--title.html.twig' --> <span>Alternative Data – The Key To Making Informed ESG Investment Decisions?</span> <!-- END OUTPUT from 'core/modules/node/templates/field--node--title.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--created--features.html.twig x field--node--created.html.twig * field--node--features.html.twig * field--created.html.twig * field--created.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'core/modules/node/templates/field--node--created.html.twig' --> <span>Tue, 09/14/2021 - 10:01</span> <!-- END OUTPUT from 'core/modules/node/templates/field--node--created.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--body--features.html.twig * field--node--body.html.twig * field--node--features.html.twig * field--body.html.twig * field--text-with-summary.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-body field--type-text-with-summary field--label-hidden field__item"><p><span><span><span>Historically investors have used corporate disclosures of their environmental, societal and governance (ESG) related initiatives to assess ESG performance – but there is still much debate about what kind of data ESG performance reports should include. </span></span></span></p> <p><span><span><span>The lack of globally standardized ESG reporting regulation means that corporate ESG performance reports vary widely in terms of consistency, quality and timeliness, while many investors, both institutional and retail, consider the data currently available to be largely insufficient. It is impossible to achieve higher risk adjusted returns, fulfil ESG mandates and increase the ESG levels of a portfolio by applying such data. It is no wonder that investors looking to gain greater and more impactful ESG exposure, often struggle to make meaningful buy, hold, or sell decisions based on this data. </span></span></span></p> <p><span><span><span>IOSCO’s recent ESG ratings and data products <a href="https://www.iosco.org/library/pubdocs/pdf/IOSCOPD681.pdf"><strong>report</strong></a> highlights the implications of inaccurate, unchecked reports for both companies and investors, which could “possibly lead to poor investment decisions on the part of the investor paying for and using ESG ratings or data products that are based on erroneous or limited information.”</span></span></span></p> <p><span><span><span>It is essential that investors are able to assess how the available ESG performance data performs against four criteria. The first is reliability: ESG performance data needs to be accurate and the source verifiable. The second is granularity: consistent ESG performance data is required on a global scale if investors are to compare companies and peers meaningfully. The third is timeliness: real-time ESG event reports are essential when assessing ESG performance appreciation or degradation. The fourth is actionability: ESG performance data needs to be immediately actionable, supporting a buy, hold or sell investment decision.</span></span></span></p> <p><span><span><span><strong>Real-time analysis made possible</strong></span></span></span></p> <p><span><span><span>Every minute, corporate and non-corporate disclosures of ESG performance are published on social media, news channels, forums, and blogs. These disclosures report events that relate to ESG issues (such as companies that have been impacted by water shortage conditions or who have broken child labor laws). </span></span></span></p> <p><span><span><span>In today’s world, where it is easier than ever to access the internet and device usage is at an all-time high, forums, blogs, and channels like Twitter have all become sites where almost anyone can discuss ESG-related issues. Of course, these wide-ranging sources differ in reliability – in our world of fake news, we are all aware of the need to fact check. It is only thanks to machine learning models that we can efficiently filter the credible from the noise. </span></span></span></p> <p><span><span><span>From a granularity perspective, machine learning can also prove useful when it comes to ESG assessment. Unlike corporate sustainability reports and corporate filings that often refer to ESG performance in different ways, machine learning models can apply the same ESG taxonomy (that draws from other ESG standards) across all its assessments. These models can therefore evaluate ESG event reports in a more consistent and clear way.</span></span></span></p> <p><span><span><span><span>One of the challenges is that ESG reporting available from sources such as corporate sustainability reports can have embedded time lags which makes ESG screening challenging. </span>Timeliness and actionability are also resolved by machine learning technology as online reports of ESG event reports can be captured immediately. </span></span></span></p> <p><span><span><span>Factors that will inform investor decisions (such as a company’s materiality, ESG performance appreciation or degradation and position relative to its peers) can therefore be evaluated more accurately, and in real-time. </span></span></span></p> <p><span><span><span><strong>Keeping investors ahead of the curve</strong></span></span></span></p> <p><span><span><span>The speed with which machine learning technology can detect and act is a huge benefit, especially given the rate at which ESG events develop, seemingly from nowhere. We need just think of the recent underwater gas pipeline leak off the Mexican peninsular. By the time the fire had been fully extinguished (a mere five hours, according to state oil company, Pemex), videos of the <a href="https://www.reuters.com/business/energy/fire-offshore-pemex-platform-gulf-mexico-under-control-2021-07-02/"><strong>“eye of fire”</strong></a> had gone viral. ESG issues are fast-moving; reports and their evaluation need to keep apace.</span></span></span></p> <p><span><span><span>The illustration below outlines how alternative ESG performance data (i.e., data sourced by machine learning models from twitter, news and blogs) can be used to construct a portfolio of companies with strong positive momentum around their ESG performance. Rebalanced every 30 days, the portfolio consists of 30 companies from the STOXX Europe 600 index. These are companies that are selected on account of their positive ESG performance changes, as reported in social media, news, and blogs. They are that are outperforming a benchmark. Note how the annualized return for Sentifi’s ESG performance momentum strategy was 9.88%, as opposed to the benchmark of 3.25%.</span></span></span></p> <p><span><span><span>Illustration 1: Portfolio construction based on ESG performance in twitter, news and blogs</span></span></span></p> <p><img alt="Sentifi" data-entity-type="file" data-entity-uuid="eb7498d6-2e99-4038-85c6-6cef7e4d5c1f" src="https://www.alpha-week.com/sites/default/files/inline-images/Sentifi-2021-09-14-A.png" width="550" height="291" loading="lazy" /></p> <p><img alt="Sentifi" data-entity-type="file" data-entity-uuid="e8643550-7a92-46fb-8d80-d50492cd3709" src="https://www.alpha-week.com/sites/default/files/inline-images/Sentifi-2021-09-14-B.png" width="550" height="154" loading="lazy" /></p> <p><span><span><span>Such statistics prove that alternative data really is the key to making meaningful investment decisions, not just at a theoretical level, but in practice, too. </span></span></span></p> <p><span><span><span>Alternative ESG performance data, when sourced and assessed by machine learning technologies, enables investors to not only raise a portfolio's ESG level, but also focus on an increased risk-adjusted performance. In a world of progressively more and more environmental disasters and greater emphasis on ESG risks, alternative data should be a weapon that more investors consider for their arsenal. </span></span></span></p> <p><span><span><span>**********</span></span></span></p> <p><em><strong>Marina Goche</strong> is CEO at <a href="https://sentifi.com/">Sentifi</a></em></p> <p><em>***</em></p> <p><em>The views expressed in this article are those of the author and do not necessarily reflect the views of AlphaWeek or its publisher, The Sortino Group</em></p></div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-tags--features.html.twig * field--node--field-tags.html.twig * field--node--features.html.twig * field--field-tags.html.twig * field--entity-reference.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-field-tags field--type-entity-reference field--label-hidden field__items"> <div class="field__item"><a href="/hedge-funds-guest-articles" hreflang="en">Hedge Funds Guest Articles</a></div> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <drupal-render-placeholder callback="flag.link_builder:build" arguments="0=node&amp;1=8760&amp;2=bookmark" token="9EfaaYJ8-mO17rLKlzvDJdqEjc58EoyWZV2hAusrJ6o"></drupal-render-placeholder> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-author--features.html.twig * field--node--field-author.html.twig * field--node--features.html.twig x field--field-author.html.twig * field--entity-reference.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field--field-author.html.twig' --> <a href="/author/marina-goche" hreflang="en">Marina Goche</a> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field--field-author.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-content-role--features.html.twig * field--node--field-content-role.html.twig * field--node--features.html.twig * field--field-content-role.html.twig * field--list-string.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-field-content-role field--type-list-string field--label-above"> <div class="field__label">Content role</div> <div class="field__item">Public</div> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> Tue, 14 Sep 2021 09:01:14 +0000 AlphaWeek Staff 8760 at https://alpha-week.com GameStop: Why Informed Investment Decisions in a Digital Era Matter https://alpha-week.com/gamestop-why-informed-investment-decisions-digital-era-matter <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--title--features.html.twig x field--node--title.html.twig * field--node--features.html.twig * field--title.html.twig * field--string.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'core/modules/node/templates/field--node--title.html.twig' --> <span>GameStop: Why Informed Investment Decisions in a Digital Era Matter</span> <!-- END OUTPUT from 'core/modules/node/templates/field--node--title.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--created--features.html.twig x field--node--created.html.twig * field--node--features.html.twig * field--created.html.twig * field--created.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'core/modules/node/templates/field--node--created.html.twig' --> <span>Thu, 02/11/2021 - 10:44</span> <!-- END OUTPUT from 'core/modules/node/templates/field--node--created.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--body--features.html.twig * field--node--body.html.twig * field--node--features.html.twig * field--body.html.twig * field--text-with-summary.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-body field--type-text-with-summary field--label-hidden field__item"><p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Surges in retail investor sentiment towards stocks, currencies and commodities in the past few weeks have highlighted how social media platforms and online forums can be leveraged to build a crowd or herd mindset which can result in a significant negative impact for institutional investors. </span></span></span></span></span></span></p> <p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Melvin Capital experienced this first-hand as a surge of retail investors moved against its position in console retailer GameStop in January, forcing the firm to receive a rescue package as it sustained a staggering 53 per cent capital loss.</span></span></span></span></span></span></p> <p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>So, what does the trend highlighted by the GameStop story mean for investors? Simply put: to detect new investment opportunities and manage investment risk appropriately and effectively, market monitoring needs to extend beyond the evaluation of traditional data sets, to systematically tracking segments of the market, previously opaque, by including social media, news and blogs in their market monitoring strategy. Done correctly, a storm brewing on Twitter, or even a Reddit chat room, would show up on the radar. </span></span></span></span></span></span></p> <p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>The challenge however is this. Across Twitter alone there are over 500 million tweets per day, and more widely online there are over two million news articles and over five million blogs published a day. As such, detecting underlying herd mindsets amongst this large volume of data sources can seem daunting. As institutional investors turn to machine learning to assist them, they encounter further obstacles – detecting bots, translating languages, and assessing the credibility of the asset intelligence provider to name a few. Making informed investment decisions in a digital era is now synonymous with detecting effective asset intelligence from social media, news and blogs real time with strong machine learning capabilities. With effective machine learning capabilities, what early warning signals could have investors received if they were using alternative data analytics as part of their trading and risk management processes? </span></span></span></span></span></span></p> <p><span><span><span><strong><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Momentum builds</span></span></span></strong></span></span></span></p> <p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Let’s take the example of GameStop as it demonstrates the kinds of sentiment and signals that investors could be looking for in alternative data online. </span></span></span></span></span></span></p> <p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>As early as 10 January, before GameStop announced the appointment of several new board members, we had detected sentiment and attention surges for GameStop in blogs, twitter and news – with attention levels 48 per cent higher than usual. By 13 January, GameStop’s share price increased by 57 per cent. By 17 January, sentiment and attention had surged to unusually extreme positive sentiment levels, placing the stock ahead of its sector peers from both a sentiment and attention perspective.<br /><br /> The stock price then increased by a further 50 per cent by 22 January. Being on top of the early warning signals that were available from 10-17 January would have alerted investors to changes that they would have wanted to act upon to not only a) rebalance their portfolios and b) take steps to mitigate against potential risks.</span></span></span></span></span></span></p> <p><span><span><span><strong><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Dogecoin and Silver then leap into the spotlight</span></span></span></strong></span></span></span></p> <p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>The focus for investors then turned to other asset classes. The same retail investor army behind the move on the gaming stores business shifted focus to other asset classes. On 27 January, we detected unusually high sentiment and attention surges for silver across blogs, news and twitter. Silver prices showed an eight-year high between 1 and 2 February. </span></span></span></span></span></span></p> <p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Similarly, on 27 January we detected unusual sentiment and attention surges for Dogecoin across blogs, news and twitter. The price increased by 700 per cent between 29 January and 1 February.</span></span></span></span></span></span></p> <p><span><span><span><strong><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>How to stop another GameStop</span></span></span></strong></span></span></span></p> <p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Carefully analysing and manipulating unstructured data sets to detect early signals requires deep expertise and models that are trained over many years to effectively process these data sets. Such capabilities are not developed overnight. </span></span></span></span></span></span></p> <p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>As hedge funds turn to machine learning and natural language processing to better understand market momentum and keep ahead of developments like GameStop, here are the kinds of sources and analysis they will be considering: </span></span></span></span></span></span></p> <ul><li><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Broad ingestion of sources for liquidity and accurate trend detection (e.g. social media, blogs and news)</span></span></span></span></span></span></li> <li><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Verification of sources and intelligence credibility in real time - removing bots, for example)</span></span></span></span></span></span></li> <li><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Accurate detection of events as they are reported</span></span></span></span></span></span></li> <li><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Accurate detection of the entities for whom events have been reported</span></span></span></span></span></span></li> <li><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Deciphering the segments of the market driving momentum for an asset, e.g. retail investors</span></span></span></span></span></span></li> <li><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Commingling insights from both structured and unstructured data sets to relate momentum shifts to asset valuation</span></span></span></span></span></span></li> </ul><p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>These past two weeks have illuminated the structural changes underway in financial markets. With the advent of zero-fee trading tools and use of social media to mobilise unforeseen numbers of retail investors to drive liquidity for stocks, currencies and commodities, there is now a new risk and return paradigm that institutional investors need to be aware of, with competition coming from new places. </span></span></span></span></span></span></p> <p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>It’s fair to say that institutional investors have been forced to either accelerate their digital adoption or reduce that adoption time by seeking alternative data providers, who have themselves invested heavily in these capabilities. 2021 is already ushering in a new way of trading, and this is an opportune time to try new tools. </span></span></span></span></span></span></p> <p><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>**********</span></span></span></span></span></span></p> <p><em><strong>Marina Goche</strong> is CEO at <a href="https://sentifi.com/">Sentifi</a></em></p> <p><em>***</em></p> <p><em>The views expressed in this article are those of the author and do not necessarily reflect the views of AlphaWeek or its publisher, The Sortino Group</em></p></div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-tags--features.html.twig * field--node--field-tags.html.twig * field--node--features.html.twig * field--field-tags.html.twig * field--entity-reference.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-field-tags field--type-entity-reference field--label-hidden field__items"> <div class="field__item"><a href="/hedge-funds-guest-articles" hreflang="en">Hedge Funds Guest Articles</a></div> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <drupal-render-placeholder callback="flag.link_builder:build" arguments="0=node&amp;1=7649&amp;2=bookmark" token="MtSPWGyvcq4iJU0-JNaSdv2JEUJNbOU79zl1mnuDo1M"></drupal-render-placeholder> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-author--features.html.twig * field--node--field-author.html.twig * field--node--features.html.twig x field--field-author.html.twig * field--entity-reference.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field--field-author.html.twig' --> <a href="/author/marina-goche" hreflang="en">Marina Goche</a> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field--field-author.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-content-role--features.html.twig * field--node--field-content-role.html.twig * field--node--features.html.twig * field--field-content-role.html.twig * field--list-string.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-field-content-role field--type-list-string field--label-above"> <div class="field__label">Content role</div> <div class="field__item">Public</div> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> Thu, 11 Feb 2021 10:44:50 +0000 AlphaWeek Staff 7649 at https://alpha-week.com The Transformative Power of Alternative Data To Source Untapped Alpha https://alpha-week.com/transformative-power-alternative-data-source-untapped-alpha <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--title--features.html.twig x field--node--title.html.twig * field--node--features.html.twig * field--title.html.twig * field--string.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'core/modules/node/templates/field--node--title.html.twig' --> <span>The Transformative Power of Alternative Data To Source Untapped Alpha</span> <!-- END OUTPUT from 'core/modules/node/templates/field--node--title.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--created--features.html.twig x field--node--created.html.twig * field--node--features.html.twig * field--created.html.twig * field--created.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'core/modules/node/templates/field--node--created.html.twig' --> <span>Mon, 12/21/2020 - 11:15</span> <!-- END OUTPUT from 'core/modules/node/templates/field--node--created.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--body--features.html.twig * field--node--body.html.twig * field--node--features.html.twig * field--body.html.twig * field--text-with-summary.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-body field--type-text-with-summary field--label-hidden field__item"><p><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>The transformation underway in investment decision-making is being led by the quest for untapped alpha in new data sets that are being generated every second, en masse. As the volume and frequency of alternative data grows and machine learning (ML) technologies to assess alternative data becomes more mature, this transformation will only accelerate.</span></span></span></span></span></span></span></p> <p><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Traditionally, systematic funds relied on technical data to gain an information edge whilst discretionary funds used fundamental data. Today, these distinctions are fast disappearing as both fund types blend multiple data sets including alternative data like asset sentiment in social media, news and blogs to make investment decisions.</span></span></span></span></span></span></span></p> <p><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Do all social media and news sentiment detection efforts produce reliable investment signals? No, they do not. Factors that are important in generating quality investment signals includes evaluating the source of an event report to validate credibility, evaluating event reports related to an asset for materiality, comparing intraday sentiment to historical levels at the asset and asset/event level and relating sentiment to signals from more traditional data sets to make alpha generating decisions. This is where machine learning technologies can help to make these assessments in real time. Randomly listening to anyone who may be tweeting about a stock, for example, and merely looking for positive or negative words to detect sentiment within a message is unlikely to produce reliable investment signals.</span></span></span></span></span></span></span></p> <p><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Sophisticated sentiment analytics do not simply capture emotions associated with an event report for an asset. Rather, these analytics help overcome alpha decay problems in traditional data sets by evaluating the shift in perception around the risk levels associated with an asset, country or region, the degree of abnormal shifts in attention, and sentiment towards an asset and enable benchmarking real time. Real time data is critical as it improves the speed and accuracy of investment decisions.</span></span></span></span></span></span></span></p> <p><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Traditional data sets can have time lags and lower frequency levels, whilst sentiment in social media around an asset is being generated and accessible real time. Incorporating these analytics in allocation machine learning models can surface optimal allocation levels to deliver above benchmark returns. </span></span></span></span></span></span></span></p> <p><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>A clear example of this is seen in Illustration 1. Sentiment scores, attention and attention buzz (above normal sentiment levels) along with derivative sentiment analytics (e.g. attention weighted sentiment score) for constituents of the S&amp;P500 were aggregated along with S&amp;P 500 prices. A machine learning model was then trained to optimise allocation levels to the S&amp;P500 with those alternative and traditional data sets. </span></span></span></span></span></span></span></p> <p><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Over 480 rule-based strategies were created with corresponding back tests. 80% of these strategies outperformed the S&amp;P500 with the best strategy (rebalancing every two weeks within 3 days of the Sentifi S&amp;P 500 sentiment signal) outperforming the S&amp;P500 with cumulative returns extending to 104.30% for this strategy vs cumulative returns of 38.17% over the same time period for the S&amp;P500 (excludes transaction costs).</span></span></span></span></span></span></span></p> <p><em><span><span><span><span><strong><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Illustration 1: Outperformance of the benchmark with Sentifi S&amp;P500 sentiment data (26-Feb-2017 to 28-Oct-2020)</span></span></span></strong></span></span></span></span></em></p> <p><img alt="Sentifi" data-entity-type="file" data-entity-uuid="0418fcad-f89c-4a89-ac54-e9c9afbd63d9" src="https://www.alpha-week.com/sites/default/files/inline-images/Sentifi-2020-12-21-A.jpg" width="528" height="412" loading="lazy" /></p> <p><em><span style="font-size:11px;"><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US">Source: Sentifi. Sentifi data goes back to February 2015. The start date of 26 February 2017 represents two years of training the machine learning model on Sentifi data before the backtest begins.</span></span></em></p> <p><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Whilst fundamental data in earnings reports continues to be an important factor in investment decision making, alternative data highlights when there is a change in the perception of an asset due to evolving market conditions. For example, material sourcing is traditionally not considered to be a common factor which impacts stock prices in the healthcare sector. However, during Covid, as vaccine development becomes the priority, social media captured the changing perception of a healthcare stock due to a company’s perceived ability to develop a Covid vaccine quickly and ability to source materials for that vaccine development.</span></span></span></span></span></span></span></p> <p><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Equally, whilst economic data can be reliable during times of economic stability to assess growth, employment and prices, during a global pandemic, we have seen that higher frequency insights in social media, news and blogs around country-level Covid restrictions surface the anticipated impact to sectors and companies to close the time lag gap in traditional data sets. </span></span></span></span></span></span></span></p> <p><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>Throughout history, sentiment has been a driver in evaluating asset valuation. However, as the proliferation of data in social media, news and blogs grows, tapping alpha means capturing momentum shifts in this medium.</span></span></span></span></span></span></span></p> <p><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>**********</span></span></span></span></span></span></span></p> <p><em><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span><strong>Marina Goche</strong> is CEO at <a href="https://sentifi.com/">Sentifi</a></span></span></span></span></span></span></span></em></p> <p><em><span><span><span><span><span lang="EN-US" xml:lang="EN-US" xml:lang="EN-US"><span><span>***</span></span></span></span></span></span></span></em></p> <p><em>The views expressed in this article are those of the author and do not necessarily reflect the views of AlphaWeek or its publisher, The Sortino Group</em></p> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-tags--features.html.twig * field--node--field-tags.html.twig * field--node--features.html.twig * field--field-tags.html.twig * field--entity-reference.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-field-tags field--type-entity-reference field--label-hidden field__items"> <div class="field__item"><a href="/hedge-funds-guest-articles" hreflang="en">Hedge Funds Guest Articles</a></div> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <drupal-render-placeholder callback="flag.link_builder:build" arguments="0=node&amp;1=7348&amp;2=bookmark" token="bPV8td-FeXDonVkf6U3NybOT9Q7oFySg8fB2yrUgkt8"></drupal-render-placeholder> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-author--features.html.twig * field--node--field-author.html.twig * field--node--features.html.twig x field--field-author.html.twig * field--entity-reference.html.twig * field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field--field-author.html.twig' --> <a href="/author/marina-goche" hreflang="en">Marina Goche</a> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field--field-author.html.twig' --> <!-- THEME DEBUG --> <!-- THEME HOOK: 'field' --> <!-- FILE NAME SUGGESTIONS: * field--node--field-content-role--features.html.twig * field--node--field-content-role.html.twig * field--node--features.html.twig * field--field-content-role.html.twig * field--list-string.html.twig x field.html.twig --> <!-- BEGIN OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> <div class="field field--name-field-content-role field--type-list-string field--label-above"> <div class="field__label">Content role</div> <div class="field__item">Public</div> </div> <!-- END OUTPUT from 'themes/gavias_vinor/templates/fields/field.html.twig' --> Mon, 21 Dec 2020 11:15:01 +0000 AlphaWeek Staff 7348 at https://alpha-week.com