5: Hedge Funds Flashcards
Risk-Return Benefits of CTAs
- Diversification
- Performance (better than long-only commodities)
- Access to multiple markets
- Transparency
- Liquidity
- Size
- No withholding taxes
- Low foreign exchange risk
Futures vs. Forwards
Futures
- Require daily cash settlement
- No net liquidating value
- Post collateral to cover daily losses
Advantages of systematic over discretionary strategies
- No emotional bias
- Lower key person risk
- More scalable
- More diversified
NFA and CFTC
NFA is responsible for introducing brokers, CTAs, CPOs and FCMs. It is an independent self-regulating body.
CFTC is a federal agency
The goal of both is to protect US investors trading on US or non-US exchanges.
Multi-currency and single-currency margining
If clients are moving numerous currencies in various global markets then their clearing broker (CB) is using multi-currency margining. Advantage: no transactions costs related to converting currencies. Disadvantage: exposure to change in FX gains or losses.
The CB can offer single currency margining, clients deposit one currency with the broker and CB is responsible for converting client’s money into collateral that is accepted at given exchanges.
3 terms for futures positions
- Trading level
- Funding level
- Notional level (1 - 2)
Margin to Equity ratio
Required Margin / Equity
The higher the ratio, the higher leverage levels, the higher the fund volatility
3 forms of market efficiency
- Weak form: claims that prices incorporate historical information
- Semi-strong: claims that prices incorporate historical and currently available public info
- Strong-form: claims that prices incorporate public and private info
Data mining
assessing numerous strategies to identify one that has worked in the past
Data snooping
being influenced by past findings and not using random samples for analysis
Over-reaction and Under-reaction mechanisms
Under-reaction (undershoot intrinsic value):
- Anchoring: bias to previous value or beliefs
- Disposition effect: closing profitable positions too quickly and holding onto losing positions for too long
Over-reaction (overshoot intrinsic value):
- Herding: join the crowd
- Confirmation bias: favor data that confirms a thesis
- Representative bias: look at past prices to form beliefs
3 technical analysis approaches for trend followers
- Moving average based systems: simplest and most popular, generates long. short position based on whether current price is above/below a given moving average. Ex: dual cross-over mov. avg. system which compares ST mov avg to LT mov avg.
- Price channels: aka trading range breakouts looks at new highs or lows (ex: 52 week highs) to find indication of a continued trend
- RSI: aka momentum oscillator system, ex: compare today’s price to price n days ago
Capital at Risk (CaR) ratio for managed futures
= Total loss if positions hit stop-loss price / NAV
this ratio represents the loss incurred if each position hits stop loss
can be used by investors who have managed account platforms b/c you need this level of transparency
CaR may underestimate the risk of loss if the stop-loss level is extremely close to the current market price, since volatility can lead the futures price to gap through the stop-loss level
CaR often overstates risk b/c it does not account for offsetting long and short positions
Value at Risk (VaR)
= (alpha x SD) + average return
alpha = 1.645 for 95% confidence interval alpha = 1.96 for 97.5% confidence interval
VaR is a measure of potential loss in an investment portfolio for a given holding period and confidence level. Most often, returns are assumed to be normally distributed (parametric approach).
Ex: A 99% 1-month VaR of $5M indicates that there is a 99% chance that the portfolio’s losses over the next month will not exceed $5M and a 1% chance that they will
Omega Ratio (OR)
=average of upper partial movements / average of lower partial movements
ratio of the average realized return in excess of a target return relative to the average realized loss relative to the target return
OR < 1, the investment provides fewer opportunities to earn a return that exceeds the target level
In general, OR is lower for higher target return, higher volatility, lower skewness and higher skewness
Given a target of 0, OR for CTAs is 4 and OR for MSCI World is 2
Facts about CTA indices
- B/C CTA indices represent equally weighted portfolios of CTAs, their volatility, skewness, and kurtosis are not necessarily representative of the statistics of individual CTAs
- Both discretionary and systematic CTA indices have zero or positive skewness, likely due to CTAs’ use of stop-loss orders to reduce downside risk
- CTAs have little exposure to equity, interest rate, commodity, credit and volatility risk factors, this reflects diversification benefits of CTAs
- CTAs provide downside protection during periods of market stress (both discretionary and systematic indices generated positive returns in the post-internet bubble and financial crisis)
- Discretionary CTAs are more heterogeneous than systematic CTAs
- Discretionary CTA indices outperform systematic CTA indices but also have a higher SD
Sidey: Systematic CTA strategies outperform Discretionary CTA strategies (?)
Potential CTA database biases
- Selection Bias b/c managers voluntarily report their performances to databases
- Look back Bias: fund may stop reporting after period of poor performance and start reporting after a period of positive performance
- Survivorship Bias: occurs when databases removes performance of failed funds
- Backfill/Instant history Bias: fund reports from a date forward and then backfill returns with its past performance
Sidey: Published managed futures indices are not typically affected by look-back, survivorship or backfill bias
3 ways to benchmark performance of managed futures
- Use an index of long-only futures: not a good angle b/c futures traders are likely to be both long and short
- Peer Groups: can be benchmarked to active and passive indices. But, the active benchmarks may be exposed to selection bias b/c of selective reporting by some CTAs. Some benchmarks may not be investible and even the investible indices may suffer from “access bias” b/c some managers may elect not to be included in the index due to restrictions
- Passive benchmarks (PBs): passive indices have been constructed mainly for trend-following (TF) strategies (these can be active or passive). MLMI is a popular passive TF index. PBs are not the best approach for non-TF and relative value systems, due to the heterogeneity of the latter two.
sidey: Portfolios of TF managers had significant explanatory power while those of non-TF managers had little. But, non-TF generated higher alphas than TF managers.
MLMI vs. active CTA indices
- MLMI, which is a passive TF index, is more correlated with the systematic TF CTA index than with the discretionary CTA index.
- The beta exposure to passive TF indices is responsible for < 50% of total excess return earned by TF CTAs
- The MLMI is not a reasonable benchmark for discretionary CTAs but is one for systematic CTAs
CTAs, volatility and gamma
CTAs are unlike the derivative holders of volatility swaps or a straddle who benefit from increased volatility
CTAs are long gamma (which measures the rate of change of an option’s delta as the value of its underlying asset changes), not volatility
CTAs perform well in down markets
Most CTA strategies generate their best performance when the SP500 volatility is extremely low and the next best when SP500 volatility is extremely high
CTA best performance is not observed when changes in SP500 volatility are very large, performance tends to be the worst when there are small changes in the SP500’s volatility
One reason CTAs may appear to be long volatility is b/c reported volatilities do not take into account emerging trends. Observers are often unaware of a price breakout and the emergence of a trend. This causes a delay in detection of identifying the new trend, so, reported volatility differs significantly from true volatility
Benefits of CTAs
Diversification
Downside protection in stressed markets
Zero or positive skewness
CTAs vs stocks and bonds
CTAs outperformed equities and had Sharpe ratios similar to that of bonds
CTAs had low correlations with equities and bonds
Costs associated with managing portfolio of CTAs
- Foregone loss carry forward: arises from CTAs assymetric fee structure in which managers only collect performance fees when the fund’s NAV exceeds the high watermark
- Costs of liquidation and reinvestment:
lag 1: time to review and make a redemption decison
lag2: several weeks betw notification and striking NAV
lag3: time betw striking the NAV and receiving cash
lag 4: time betw receiving 1st and last round of cash3 costs incurred from liquidating/reinvesting:- foregone interest on dormant cash
- foregone excess returns on uncommitted cash
- transaction/administrative fees for closing and opening positions
CTA funds vs. multi-CTA funds
Both have low maintenance, limited liability and no control over assets. But, only multi-CTA funds provide access to diversified portfolio of CTAs
Pros and Cons of Managed Futures accounts
Pros:
- investors have control on their cash and can liquidate account anytime
- investors have control of capital and can choose leverage
- transparency of positions and trades which mitigates fraud
Cons:
- many mangers do not accept managed accounts, so small pool of selection for investors
- large minimum investments
- oversight to maintain account
- accounts do not have auditor or admin, unless secured by investor