Hedge fund strategy definitions and performance

Arbitrage – returned 0.68% in Feb 23, bringing 12-month performance to 2.55% and five-year CAR to 4.66%

Definition: Strategies that look to benefit from mispricings of the same instrument/asset or extremely closely related instrument. The strategy covers the following areas: convertible bond arbitrage, tail protection, volatility or opportunistic trades in this area, including but not limited to other areas such as capital structure arbitrage, ETF arbitrage or arbitrage of other closely related instruments.

Arbitrage – Convertible bond (Convert arb)

Traditionally the strategy looks to isolate mispriced components of convertible securities in order to capture a return to fair value. CBs essentially consists of a bond plus …

Traditionally the strategy looks to isolate mispriced components of convertible securities in order to capture a return to fair value. CBs essentially consists of a bond plus an embedded call option on the equity. Key valuation components relate to the credit (bond component) and the volatility (option and equity component). Those components, other than the component believed to be mispriced, are typically hedged in order to isolate the mispricing.

Arbitrage – Tail protection (Tail protection)

Strategies that explicitly look to benefit from large market moves, typically either in the form of large spikes in volatility (either from implied or realised volatility), or…

Strategies that explicitly look to benefit from large market moves, typically either in the form of large spikes in volatility (either from implied or realised volatility), or from significant moves in the underlying spot price (long gamma) or a particular asset or assets. Some tail protection strategies also look to benefit from sudden/large moves in spread relationships, which are typically tight, but which can move to extremes during periods of stress.

Arbitrage – Volatility arbitrage (Vol arb)

Traditionally the strategy looks to identify mispricing of volatility: this can be mispricing of either implied volatility or realised volatility. Strategies can be short/neut…

Traditionally the strategy looks to identify mispricing of volatility: this can be mispricing of either implied volatility or realised volatility. Strategies can be short/neutral or long volatility biased. They typically consist of trades where the price of the instrument is directly linked with the pricing of volatility (realised or implied), such as options, swaptions, VIX/VSTOXX products and variance swaps.

Arbitrage – Opportunistic (Arb opportunistic)

Strategies that look to benefit from inconsistent/mis-prcing of the same instrument/asset or extremely closely related instruments/assets. Opportunistic arbitrage strategies t…

Strategies that look to benefit from inconsistent/mis-prcing of the same instrument/asset or extremely closely related instruments/assets. Opportunistic arbitrage strategies typically have the flexibility to trade across multiple areas, but tend to specialise in a combination of volatility trading, convertible bonds and capital structure arbitrage trades. But they may also focus on other niche areas in order to capitalise upon perceived mis-pricing. The narrow arbitrage focus is why they are better considered as part of arbitrage, rather than in the broader multi-strategy classification.

NET RETURN OF MASTER AND SUB-STRATEGIES (12M)

*HF Composite = Aurum Hedge Fund Data Engine Asset Weighted Composite Index. **Bonds = S&P Global Developed Aggregate Ex Collateralized Bond (USD). ***Equities = S&P Global BMI.

Want to share our charts? We are happy for you to do so, but please do quote the source: Aurum Research Limited’s Hedge Fund Data Engine

Latest strategy performance chart packs:

Full year – to December 2022

Credit – returned 0.21% in Feb 23, bringing 12-month performance to -0.62% and five-year CAR to 3.22%

Definition: Strategies that focus the vast majority of their trading on debt instruments, or instruments that are far more ‘debt-like’ in nature.

Credit – Credit (Credit)

Typically focusing upon investments in higher yielding (but still performing) non investment grade securities, primarily corporate – and sometimes sovereign – debt. The st…

Typically focusing upon investments in higher yielding (but still performing) non investment grade securities, primarily corporate – and sometimes sovereign – debt. The strategy is typically expressed with a net long bias. More relative value oriented credit funds take a more balanced long/short approach (although still typically have a net long bias). Relative to longs, the short positions may be outright, related by sector, and/or within the same capital structures. whilst not heavily trading oriented (given the associated costs) the strategy is more event-focused than passive and as such tends to have shorter investment horizons than something like the Distressed category. Returns are generated from a blend of coupon income and capital appreciation due to spread tightening (or widening on shorts).

Credit – Distressed (Distressed)

Strategy typically invests in non-investment grade corporate – and sometimes sovereign – debt, which is frequently stressed (e.g. performing, but priced at a significant d…

Strategy typically invests in non-investment grade corporate – and sometimes sovereign – debt, which is frequently stressed (e.g. performing, but priced at a significant discount to par) or defaulted (e.g. where a balance sheet restructuring will occur). Some also invest in deeply discounted and/or subordinate structured product. Time horizon is typically longer dated.

NET RETURN OF MASTER AND SUB-STRATEGIES (12M)

*HF Composite = Aurum Hedge Fund Data Engine Asset Weighted Composite Index. **Bonds = S&P Global Developed Aggregate Ex Collateralized Bond (USD). ***Equities = S&P Global BMI.

Want to share our charts? We are happy for you to do so, but please do quote the source: Aurum Research Limited’s Hedge Fund Data Engine

Latest strategy performance chart packs:

Full year – to December 2022

Equity long/short – returned -1.29% in Feb 23, bringing 12-month performance to -2.15% and five-year CAR to 4.14%

Definition: Investing in global stocks, both on the long and short side. Most funds have a fundamental bias, value and/or growth oriented investment theses are typically adopted. Some managers may also be more tactical/technical in their approach, taking into account flows, positioning on the street and market dynamics as part of the investment decision making process.

US equity long/short (US L/S)

Investing the all or the vast majority of their portfolio into US stocks, both on the long and short side. Most funds have a fundamental bias, value and/or growth oriented inv…

Investing the all or the vast majority of their portfolio into US stocks, both on the long and short side. Most funds have a fundamental bias, value and/or growth oriented investment theses are typically adopted. Some managers may also be more tactical/technical in their approach, taking into account flows, positioning on the street and market dynamics as part of the investment decision making process.

Asia Pacific equity long/short (AsiaPac L/S)

Investing the all or the vast majority of their portfolio into Asian Pacific stocks, both on the long and short side. Most funds have a fundamental bias, value and/or growth o…

Investing the all or the vast majority of their portfolio into Asian Pacific stocks, both on the long and short side. Most funds have a fundamental bias, value and/or growth oriented investment theses are typically adopted. Some managers may also be more tactical/technical in their approach, taking into account flows, positioning on the street and market dynamics as part of the investment decision making process.

European equity long/short (Europe L/S)

Investing all or the vast majority of the portfolio in European stocks, both on the long and short side. Most funds have a fundamental bias, value and/or growth oriented inves…

Investing all or the vast majority of the portfolio in European stocks, both on the long and short side. Most funds have a fundamental bias, value and/or growth oriented investment theses are typically adopted. Some managers may also be more tactical/technical in their approach, taking into account flows, positioning on the street and market dynamics as part of the investment decision making process.

Global equity long/short (Global L/S)

Investing the portfolio in global stocks, both on the long and short side. The fund is agnostic to country/region to maintain flexibility. Most funds have a fundamental bias, …

Investing the portfolio in global stocks, both on the long and short side. The fund is agnostic to country/region to maintain flexibility. Most funds have a fundamental bias, value and/or growth oriented investment theses are typically adopted. Some managers may also be more tactical/technical in their approach, taking into account flows, positioning on the street and market dynamics as part of the investment decision making process.

Fundamental equity market neutral (FEMN)

Investing the portfolio in stocks, both on the long and short side. To classify as ‘equity market neutral’ funds are expected to run with a very tight net exposure bias, w…

Investing the portfolio in stocks, both on the long and short side. To classify as ‘equity market neutral’ funds are expected to run with a very tight net exposure bias, which over the longer term should be close to zero. Note, different funds use different methodologies, e.g. some may run to be ‘beta neutral’, while others may be cash neutral (with a tolerance band around the zero level). The distinguishing characteristic is that such funds are typically very low net at all times, but some may run with varying degrees of factor or industry exposure, while others may have more stringent risk parameters around such exposures. Most funds have a fundamental bias, value and/or growth oriented investment theses are typically adopted. Some managers may also be more tactical/technical in their approach, taking into account flows, positioning on the street and market dynamics as part of the investment decision making process.

Sector long/short (Sector L/S)

Investing the portfolio in a specific sector, both on the long and short side. The funds may or may not be agnostic to country/region to maintain flexibility, however sector s…

Investing the portfolio in a specific sector, both on the long and short side. The funds may or may not be agnostic to country/region to maintain flexibility, however sector specialist funds tend to be US focused given that it is a very deep/broad market with sectors that are large enough to accommodate diversified sector specific portfolios. Most funds have a fundamental bias, value and/or growth oriented investment theses are typically adopted. Some managers may also be more tactical/technical in their approach, taking into account flows, positioning on the street and market dynamics as part of the investment decision making process.

Other long/short (Other L/S)

Long short equity investing, which does not readily fit into the other classification taxonomy….

Long short equity investing, which does not readily fit into the other classification taxonomy.

NET RETURN OF MASTER AND SUB-STRATEGIES (12M)

*HF Composite = Aurum Hedge Fund Data Engine Asset Weighted Composite Index. **Bonds = S&P Global Developed Aggregate Ex Collateralized Bond (USD). ***Equities = S&P Global BMI.

Want to share our charts? We are happy for you to do so, but please do quote the source: Aurum Research Limited’s Hedge Fund Data Engine

Latest strategy performance chart packs:

Full year – to December 2022

Event driven – returned -0.14% in Feb 23, bringing 12-month performance to -0.31% and five-year CAR to 5.94%

Definition: Broad strategy category covering funds that invest in securities of companies facing announced and anticipated corporate events. This includes, but is not limited to: M&A, Spin-offs, Company restructurings, some distressed situations (although if this is the dominating part of the strategy it will be classified as ‘credit-distressed’). The strategy identifies mispriced securities with favourable risk/reward characteristics based upon differentiated views of value-unlocking catalysts, event-probabilities and post-event valuations.

Event driven – Activist (Activist)

Activist hedge funds invest in companies that they feel are undervalued and the managers then attempt to drive the value creation process by influencing corporate management t…

Activist hedge funds invest in companies that they feel are undervalued and the managers then attempt to drive the value creation process by influencing corporate management to undertake initiatives that they feel will benefit shareholders. This can include a number of activities, including but not limited to: capital structure restructuring, change in operating strategy/capital allocation, change in the board/management, change in corporate governance or the outright sale of the enterprise. Funds typically own large stakes in the companies they invest in as investors need to be a large enough shareholder to influence management.

Event driven – Merger arbitrage (Merger)

Strategy typically involves taking positions in the securities of a company being acquired in a merger or acquisition. Due to the risk of a deal-break as well as time value of…

Strategy typically involves taking positions in the securities of a company being acquired in a merger or acquisition. Due to the risk of a deal-break as well as time value of money, the securities typically trade at a discount to the deal-price/value (deal-spread). Primary risk is when deals break, which can lead to asymmetric losses to the downside. Funds will typically trade cash deals and also share-for-share deals, where the fund will short the securities they expect to receive upon deal closure (locking in the deal spread). In addition to M&A, managers may also invest in other situations that involve process driven catalysts.

Event driven – Multi-strategy (Event multi)

Whilst these are multi-strategy funds, they are characterised by their overwhelming focus on the broad event-driven space and therefore placed in their own category. Such fund…

Whilst these are multi-strategy funds, they are characterised by their overwhelming focus on the broad event-driven space and therefore placed in their own category. Such funds consistently generate a significant portion of their P&L from the primary event-driven investing categories: merger arbitrage, soft-catalyst event-driven situations (spin-offs, spin-outs, share-class arbitrage, non-mandatory shareholder elections, index-rebalancing, holdco/subsidiary relative value trade, high probability potential merger ‘targets’, etc.) and/or activist investing. Some funds may also allocate a portion of their capital to Distressed (which can fall under the category of event-driven investing), however, if the majority of the risk is in consistently in the distressed arena, it falls under the ‘credit/distressed’ categorisation.

Event driven -Opportunistic (Event opp)

Has some similarities to the event-driven ‘multi-strategy’ classification however, as the name suggests, these funds tend to be very opportunistic and dynamically adjust t…

Has some similarities to the event-driven ‘multi-strategy’ classification however, as the name suggests, these funds tend to be very opportunistic and dynamically adjust their capital allocation between various event-driven trades. These funds tend to also be more value and soft catalyst oriented. Such funds may also place ‘special situations’ trades, looking to unlock value taking various positions in the capital structure (i.e. could be debt or equity). Opportunistic funds have the flexibility to trade all areas of the event space (M&A, Activist, soft catalyst and distressed investing) but will do so on an opportunistic basis, they also may concentrate a large portion (or even at times all) of the risk in a specific area, unlike event driven – multi-strategy funds, which are typically always allocated across multiple sub-strategies at all times.

NET RETURN OF MASTER AND SUB-STRATEGIES (12M)

*HF Composite = Aurum Hedge Fund Data Engine Asset Weighted Composite Index. **Bonds = S&P Global Developed Aggregate Ex Collateralized Bond (USD). ***Equities = S&P Global BMI.

Want to share our charts? We are happy for you to do so, but please do quote the source: Aurum Research Limited’s Hedge Fund Data Engine

Latest strategy performance chart packs:

Full year – to December 2022

Long biased – returned -3.20% in Feb 23, bringing 12-month performance to -8.54% and five-year CAR to 3.51%

Definition: Long only or overwhelmingly long-biased strategies. Covers multiple asset classes.

Long biased – equities

Long only or overwhelmingly long-biased equity strategies. Such funds still have a hedge-fund structure. Funds that are more ‘mutual fund’-like are excluded from th…

Long only or overwhelmingly long-biased equity strategies. Such funds still have a hedge-fund structure. Funds that are more ‘mutual fund’-like are excluded from this category. Most funds have a fundamental bias, value and/or growth oriented investment theses are typically adopted. Some managers may also be more tactical/technical in their approach, taking into account flows, positioning on the street and market dynamics as part of the investment decision making process.

Long biased – fixed income

Long only or overwhelmingly long-biased fixed income strategies. Such strategies typically hold investment grade debt….

Long only or overwhelmingly long-biased fixed income strategies. Such strategies typically hold investment grade debt.

Long biased – diversified growth

A hedge fund where the majority of the capital is deployed in strategies within the long-biased categories….

A hedge fund where the majority of the capital is deployed in strategies within the long-biased categories.

Long biased – commodities

Funds that take long positions across the commodity complex (e.g., precious metals, base metals, basic materials, soft commodities, agriculture, oil, gas, power, coal & ut…

Funds that take long positions across the commodity complex (e.g., precious metals, base metals, basic materials, soft commodities, agriculture, oil, gas, power, coal & utilities product, etc.) on a passive or actively managed basis. The manager may specialises in one or more of these sub-sectors.

NET RETURN OF MASTER AND SUB-STRATEGIES (12M)

*HF Composite = Aurum Hedge Fund Data Engine Asset Weighted Composite Index. **Bonds = S&P Global Developed Aggregate Ex Collateralized Bond (USD). ***Equities = S&P Global BMI.

Want to share our charts? We are happy for you to do so, but please do quote the source: Aurum Research Limited’s Hedge Fund Data Engine

Latest strategy performance chart packs:

Full year – to December 2022

Macro – returned -0.19% in Feb 23, bringing 12-month performance to 8.29% and five-year CAR to 4.11%

Definition: Macro funds take positions (can be either directional or relative-value) in currencies, bonds, equities and commodities, based on fundamental and qualitative judgements. Investment decisions can be based on a manager’s top-down views of the world (e.g. views on economy, interest rates, inflation, government policy or geopolitical factors). Relative valuations of financial instruments within or between asset classes can also play a role (or be the dominant part) in the investment process. Primary areas of focus are the liquid instruments of G10 countries, although they may also include emerging markets.

Macro – Fixed income relative value (FI RV)

Fund generates all or a substantial majority of the P&L/risk from relative movements across fixed income assets and their derivatives. Funds are typically looking to profi…

Fund generates all or a substantial majority of the P&L/risk from relative movements across fixed income assets and their derivatives. Funds are typically looking to profit from arbitrage, mean-reversion or positive carry. Most traders aim to be either duration neutral or ‘risk neutral’ (i.e. matching DV01 across long and short positions). Most managers incorporate some use of leverage as an integral part of the strategy. Note – that some managers in the space may also trade a smaller portion of the book in more ‘classic’ directional macro trades, but funds in the FIRV category are generating a minority of the risk from this area.

Macro – Commodities (Commods)

These funds are primarily focused on trading commodity futures and options from both the long and short side. They can occasionally include the tactical use of equities, curre…

These funds are primarily focused on trading commodity futures and options from both the long and short side. They can occasionally include the tactical use of equities, currencies, or fixed income instruments, but commodity futures/options should make up the bulk of the risk. The manager is typically looking for longer term trends and supply/demand imbalances within and between commodity markets.

Macro – Global macro (Macro)

Macro funds take positions (can be either directional or relative-value) in currencies, bonds, equities and commodities, based on fundamental and qualitative judgements. Inves…

Macro funds take positions (can be either directional or relative-value) in currencies, bonds, equities and commodities, based on fundamental and qualitative judgements. Investment decisions can be based on a manager’s top-down views of the world (e.g. views on economy, interest rates, inflation, government policy or geopolitical factors). Relative valuations of financial instruments within or between asset classes can also play a role (or be the dominant part) in the investment process. Primary areas of focus are the liquid instruments of G10 countries, although they may also include emerging markets. Macro managers that do not have a particular specialisation in areas such as commodities, emerging markets or fixed income relative value fall under this more general classification.

Macro – Emerging markets
(EM macro)

Macro funds take positions (can be either directional or relative-value) in currencies, bonds, equities and commodities, based on fundamental and qualitative judgements. Inves…

NET RETURN OF MASTER AND SUB-STRATEGIES (12M)

*HF Composite = Aurum Hedge Fund Data Engine Asset Weighted Composite Index. **Bonds = S&P Global Developed Aggregate Ex Collateralized Bond (USD). ***Equities = S&P Global BMI.

Want to share our charts? We are happy for you to do so, but please do quote the source: Aurum Research Limited’s Hedge Fund Data Engine

Latest strategy performance chart packs:

Full year – to December 2022

Multi-strategy – returned 0.72% in Feb 23, bringing 12-month performance to 9.19% and five-year CAR to 9.09%

Definition: A hedge fund where the capital is deployed across multiple sub-strategies and asset classes. Funds are typically extremely diversified and employ multiple PMs/risk taking groups.

NET RETURN OF MASTER AND SUB-STRATEGIES (12M)

*HF Composite = Aurum Hedge Fund Data Engine Asset Weighted Composite Index. **Bonds = S&P Global Developed Aggregate Ex Collateralized Bond (USD). ***Equities = S&P Global BMI.

Want to share our charts? We are happy for you to do so, but please do quote the source: Aurum Research Limited’s Hedge Fund Data Engine

Latest strategy performance chart packs:

Full year – to December 2022

Quant – returned 2.25% in Feb 23, bringing 12-month performance to 7.83% and five-year CAR to 3.40%

Definition: Systematic strategies: Funds trade securities based strictly on the buy/sell decisions of computer algorithms. Quant strategies primarily fall into the following categories: Quantitative equity market neutral, Statistical arbitrage, Quant macro/GAA (Global asset allocation), CTA, and risk-premia.

Quant – CTA (CTA)

CTAs (Commodity trading advisors) take primarily directional positions in index level or macro instruments, such as futures or FX contracts, in a systematic fashion. Technical…

CTAs (Commodity trading advisors) take primarily directional positions in index level or macro instruments, such as futures or FX contracts, in a systematic fashion. Technically, a CTA is a trader of futures contracts as defined by the CFTC and historically, there were many CTAs who were not systematic; such traders are more likely to be classified as ‘Global Macro’. CTAs are typically extremely systematised with straight through processing from signal generation to execution. Many, but by no means all, CTAs are trend following (using historical prices to determine predictable ‘trending patterns’) buying into markets where prices are rising and selling where markets are falling. When rising markets slow down/stop rising, trend-followers typically reduce its position and will eventually reverse its position into a short position, which it will hold until the market starts to rally again. The strategy is known for running with profits and cutting losses. Other models used in CTAs may include carry, seasonality, mean reverting or pattern recognition systems, models driven by fundamental data or non-traditional data sources. Some CTAs can also trade very short-term signals driven by market microstructure anomalies and patterns.

Quant macro / GAA
(Quant macro)

GAA (Global asset allocation) is a systematic approach to global macro, with managers taking positions in global markets based on quantitative analysis, taking in information …

GAA (Global asset allocation) is a systematic approach to global macro, with managers taking positions in global markets based on quantitative analysis, taking in information based primarily on economic data, but also incorporating price related information. The strategy is highly data and technology intensive. The positions tend to be relative value based, but they may also take directional positions in instruments such as futures, FX and baskets of equities, ETFs, swaps and other instruments. Signals may be arranged into relative value asset class models, cross asset class models / directional trades. Signals are also often classified under a number of factor headings: value, carry, momentum etc.

Quant – Statistical arbitrage (Stat arb)

Statistical arbitrage funds typically take price data and its derivatives, such as correlation, volatility and other forms of market data, such as volume and order-book inform…

Statistical arbitrage funds typically take price data and its derivatives, such as correlation, volatility and other forms of market data, such as volume and order-book information to determine the existence of patterns. These patterns can help the manager forecast the future return of a stock, often over a relatively short timeframe. Typical signal types are: mean-reversion, momentum and event-driven. Mean-reversion looks to take advantage of the phenomenon of short-term price movements occurring due to supply/demand imbalances then moving back to an equilibrium level. Momentum models look for patterns in price data that suggest that price movements will be more persistent (i.e. trend). Other statistical arbitrage funds will look to incorporate more discrete information into their process from events (e.g. publishing of analyst earnings estimates, news flow, etc.). Whilst statistical arbitrage funds tend to focus more on ‘technical’ models, some may also incorporate some longer-term models that are driven by fundamental data (e.g. stock value models, growth, etc.), however, if these models are the more dominant driver of risk, then the fund is likely to be classified as Quantitative equity market neutral. Statistical arbitrage funds are typically run with a very low level of beta and are market neutral, however, this may not always be the case, with some funds able to take significant directional risk; however, given the higher frequency trading nature of such funds, they are not expected to have significant correlation to markets over time.

Quant – Quant equity market neutral (Quant EMN)

Traditional QEMN strategies take fundamental data, such as analyst earnings estimates, balance sheet information and cash flow statement statistics, and systematically rank/sc…

Traditional QEMN strategies take fundamental data, such as analyst earnings estimates, balance sheet information and cash flow statement statistics, and systematically rank/score stocks against these metrics in varying proportions. The weights of the scores of the different fundamental data sources may be fixed or dynamic. Managers may construct a portfolio using an optimisation process or by applying simpler rules combined with risk constraints so as to create a portfolio that is dollar and/or beta neutral, and typically with minimal sector exposure. Traditional QEMN portfolios consists of exposure to: Value (looking for stocks mispriced relative to their fundamental value, e.g. based on P/E, P/B, cash flow, etc.); Quality (looking at metrics such as levels of debt, stability of earnings growth, balance sheet strength); momentum (looking at past returns over a preset timeframe ranging from days to months); however, these are common factors that are relatively easy to exploit/replicate – hence the proliferation of risk-premia products that operate in this space.

Quant – Risk premia (Risk premia)

Hedge fund risk premia products typically seek to capture the fundamental insights of a class of hedge fund strategies (hedge fund risk premia / Alternative risk premia) along…

Hedge fund risk premia products typically seek to capture the fundamental insights of a class of hedge fund strategies (hedge fund risk premia / Alternative risk premia) along with a meaningful proportion of the expected returns those strategies can earn – using a dynamic but clearly defined process. Funds typically have exposure to a well-diversified portfolio of hedge-fund premia. Premia can cover everything from equity premia (Equity market neutral – trading across value, quality, growth and momentum factors, as well as EM premia), macro premia (e.g. trend following, or EM premia), to arbitrage strategies (e.g. risk arbitrage – holding a portfolio of merger targets diversified by sector and deal type; convertible arbitrage, etc.). The strategies are typically very well understood, backed up by academic research and implemented systematically.

NET RETURN OF MASTER AND SUB-STRATEGIES (12M)

*HF Composite = Aurum Hedge Fund Data Engine Asset Weighted Composite Index. **Bonds = S&P Global Developed Aggregate Ex Collateralized Bond (USD). ***Equities = S&P Global BMI.

Want to share our charts? We are happy for you to do so, but please do quote the source: Aurum Research Limited’s Hedge Fund Data Engine

Latest strategy performance chart packs:

Full year – to December 2022

Crypto
Definition: Focusing on investments in digital assets. These strategies can be implemented as long-only, long/short or market neutral with discretionary or quantitative approaches. Multi-strategy digital asset hedge funds also exist, and most funds implement a hybrid of strategies.

Source: Aurum’s proprietary Hedge Fund Data Engine database containing data on around 3,500 active hedge funds representing around $3 trillion of assets as at December 2022. Information in the database is derived from multiple sources including Aurum’s own research, regulatory filings, public registers and other database providers. Performance in the above chart is asset weighted. Box size reflects the AUM of the hedge fund industry, as tracked by Aurum. See the disclaimer for further details.

Bond and equity indices
The S&P Global BMI and S&P Global Developed Aggregate Ex Collateralized Bond (USD) Total Return Index (the “S&P Indices”) are products of S&P Dow Jones Indices LLC, its affiliates and/or their licensors and has been licensed for use by Aurum Research Limited. Copyright © 2021 S&P Dow Jones Indices LLC, its affiliates and/or their licensors. All rights reserved. Redistribution or reproduction in whole or in part are prohibited without written permission of S&P Dow Jones Indices LLC. For more information on any of S&P Dow Jones Indices LLC’s indices please visit www.spdji.com. S&P® is a registered trademark of Standard & Poor’s Financial Services LLC and Dow Jones® is a registered trademark of Dow Jones Trademark Holdings LLC. Neither S&P Dow Jones Indices LLC, Dow Jones Trademark Holdings LLC, their affiliates nor their third party licensors make any representation or warranty, express or implied, as to the ability of any index to accurately represent the asset class or market sector that it purports to represent and neither S&P Dow Jones Indices LLC, Dow Jones Trademark Holdings LLC, their affiliates nor their third party licensors shall have any liability for any errors, omissions, or interruptions of any index or the data included therein. By accepting delivery of this Paper, the reader: (a) agrees it will not extract any index values from the Paper nor will it store, reproduce or further distribute the index values to any third party for any purpose in any format or by any means except that reader may store the Paper for its personal, non-commercial use; (b) acknowledges and agrees that S&P own the S&P Indices, the associated index values and all intellectual property therein and (c) S&P disclaims any and all warranties and representations with respect to the S&P Indices.

Hedge fund strategy definitions and performance

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

You may also like

Monthly hedge fund performance review – February 2023

Monthly hedge fund performance review – January 2023

Hedge fund industry performance deep dive – Full year 2022

Aurum’s quarterly review – Q4 2022

Monthly hedge fund performance review – December 2022

Monthly hedge fund performance review – November 2022

Arbitrage deep dive – Oct 22

Monthly hedge fund performance review – October 2022

Macro deep dive – Sep 22

Aurum’s quarterly review – Q3 2022

Monthly hedge fund performance review – September 2022

Quant deep dive – Aug 22

Hedge fund strategy definitions and performance

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

Full year – to December 2022

Share this article with your network

You may also like

Monthly hedge fund performance review – February 2023

Monthly hedge fund performance review – January 2023

Hedge fund industry performance deep dive – Full year 2022

Aurum’s quarterly review – Q4 2022

Monthly hedge fund performance review – December 2022

Monthly hedge fund performance review – November 2022

Arbitrage deep dive – Oct 22

Monthly hedge fund performance review – October 2022

Macro deep dive – Sep 22

Aurum’s quarterly review – Q3 2022

Monthly hedge fund performance review – September 2022

Quant deep dive – Aug 22