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Kettera Strategies Heat Map - October 2019

In global macro, the discretionary programs we track seemed to end October flat to positive. The most profitable positions were short G10 government bonds, long equities, and long various emerging market bonds and currencies. These were offset somewhat by exposures in G10 currencies. The “quant,” or model-driven, macro programs did not fare as well. Setbacks came largely at the hands of, once again, fixed income markets – although we noted more profitable trading coming from Australian and Asian markets with losses from North American and European instruments. Most of the larger traditional systematic trend strategies continued their slide from last month. The leading source of losses across the board was fixed income (once again) and G10 FX rates. Many managers offset this partly with gains in global equities and precious metals.

Most (but not all) short-term and higher-frequency programs ended the month flat to slightly down. While ST/high frequency programs are a varied lot, the index markets seemed to offer the most profits, both buying and shorting on a near-term basis.

Many industry commodities specialists (metals and energies) seemed to end the month profitably. Some of the more successful positions were spreads in the energy markets.

The performance of the various equities-based strategies were varied. Market neutral strategies we follow appeared to struggle during the month amidst the decline in stock market volatility, both implied and realized.

Kettera Strategies

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Kettera Strategies

For the “style classes” and “baskets” presented in this letter: The “style baskets” referenced above were created by Kettera for research purposes to track the category and are classifications drawn by Kettera Strategies in their review of programs on and for the Hydra Platform. The arrows represent the style basket’s overall performance for the month (e.g. the sideways arrow indicates that the basket was largely flat overall, a solid red down arrow indicates the basket (on average) was largely negative compared to most months, etc.). The “style basket” for a class is created from monthly returns (net of fees) of programs that are either: programs currently or formerly on Hydra; or under review with an expectation of being added to Hydra. The weighting of a program in a basket depends upon into which of these three groups the program falls. Style baskets are not investible products or index products being offered to investors. They are meant purely for analysis and comparison purposes. These also were not created to stimulate interest in any underlying or associated program. Nonetheless, as these research tools may be regarded to be “hypothetical” combinations of managers, hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any product or account will achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.

Benchmark sources:

1-The Hedge Fund Intelligence Global Macro Index and HFI Currency Index

2-The Societe Generale Trend Index and SG CTA Index

3-The Societe General Short-term Traders Index: (same link as above)

4-The Eurekahedge AI Hedge Fund Index

5-The BarclayHedge Currency Traders Index and BTOP FX Traders Index

6- S&P GSCI Metals & Energy Index and S&P GSCI Ag Commodities Index

7-The CBOE Eurekahedge Relative Value Volatility Hedge Fund Index

8-The Eurekahedge-Mizuho Multi-Strategy Index: (See above)

9-The Eurekahedge Long Short Equities Hedge Fund Index: (See above)

10-Blend of BarclayHedge Equity Market Neutral Index with Eurekahedge Equity Mkt Neutral Index (see link above)

Indices and other financial benchmarks shown are provided for illustrative purposes only, are unmanaged, reflect reinvestment of income and dividends and do not reflect the impact of advisory fees. Index data is reported as of date of publication and may be a month-to-date estimate if all underlying components have not yet reported. The index providers may update their reported performance from time to time. Kettera disclaims any obligation to verify these numbers or to update or revise the performance numbers.

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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

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