Beta
Asset’s systematic risk
Sensitivity to movements in broader market or benchmark
Asset’s return explained by market-wide factors rather than asset-specific (idiosyncratic) factors
Interpretation Beta
β = 1: in line with market
β > 1: more volatile than market
β < 1: less volatile than market
β < 0: opposite to market
Alpha
Risk-adjusted performance relative to what would have been expected given beta
Interpretation Alpha
α > 0: asset outperformed the level predicted by risk exposure (“positive skill”)
α < 0: asset underperformed relative to expected return
α = 0: Performance explained by systematic risk
Derivative
Financial contract whose value is derived from the value of an underlying asset, index, rate, event, or other reference variable.
Derivatives: Underlying assets
Equities
Bonds
Interest rates
Commodities
Credit instruments
Market indexes
Call Option
Derivative contract that gives buyer right to purchase at predetermined strike price before/on expiration date
Paying option premium
Seller has the obligation to sell if the buyer exercises option
Rolling
Closing out position nearing expiration
Simultaneously open new position with later expiration
Why roll position
To maintain exposure to an asset without taking physical delivery
To avoid expiration of futures or options
To adjust duration, strike, or risk profile
Put Option
Derivative contract that gives seller right - not obligation - to sell at predetermined strike price before/on expiration date
Spreads
Difference between two prices, rates, or yields
Measures how far apart two related values are
Assess cost, value, or relative risk
Dispersion
How much apart are individual data points differ from another or central value
Contango
Market condition in futures market
Futures prices > current spot price
Occurs when high carrying costs / weak immediate delivery demand
Backwardation
Futures prices < current spot price
Occurs when strong demand for immediate delivery
Roll yield
The return from the change in futures prices as a contract approaches spot and is rolled forward
Arises from difference between futures prices across maturities
FICC
Fixed Income
Currencies
Hedge Position
Risk reduction strategy to protect against potential losses
Taking opposite / protective position
3 classic ways to hedge
Protective put
Equity Index Hedge
Covered call
Protective Put
Investor buys put option on own position —> limit downside risk
Able to sell at strike price if price falls
Shorting equity index futures (S&P futures) to offset market-wide risk
For stocks correlated with index
Covered Call
investor sells call option on position to generate premium income
Partial downside cushion
Capping upside potential
Strike Price
Predetermined price at which an option can be excercised
Strike price is not asset value
Can exercised at any time; but only makes sense when value > strike
Spot rate
Current market price for immediate delivery / settlement
Forward rate
Price/rate agreed today for future settlement
Used to price, hedge or commit to future transactions
Yield Curve
Graph showing relationship of interest rates (yields) vs. maturities
Mean
Average: sum of all values / number of values
Sensitive to extremes
Skewness
Measure of how asymmetrical a distribution is around its mean
Skewness Tails
Right Tail = Positive Tail —> positively skewed (chance of big gains)
Left Tail = Negative Tail —> negatively skewed (chance of big losses)
Median
Value in the middle of ordered dataset
odd number of values —> median: middle one
even number of values —> median: average of two middle
Robust to extremes
Difference between kurtosis and excess kurtosis
Kurtosis: measures tailedness (extremeness) of distribution
Excess Kurtosis: measures tailedness (extremeness) of distribution
Kurtosis
Measures tailedness (extremess) of distribution
Normal distribution = kurtosis value of 3
Value > 3 = fat tails
Value < 3 = thin tails
Excess Kurtosis
Measures how kurtosis compares to a normal distribution
Excess kurtosis = kurtosis - 3
Positive —> more extreme events than normal
Negative —> fewer extreme events than normal
Normal distribution = excess kurtosis = 0
Standard Deviation
Measures spread of an entire dataset around its mean
High SD = values vary a lot
Low SD = values cluster tightly
Investments that pay fixed, regular interest and return principal at maturity (e.g., bonds)
Hypothesis Testing Errors
Type I Error —> False positive: sth exists when is not
Type II Error —> False Negative: nothing is happening but actually is
Sharpe Ratio
Measures risk-adjusted return —> comparing excess return to total volatility
Positive sharpe = 0 —> : Portfolio earns returns above the risk-free rate per unit of risk
Drawdown
Peak-to-trough decline in portfolio value over a specified period
Percentage loss from highest equity value before recovery
Max. Drawdown
Largest / worst drawdown over entire period
Absolute Return
Targeting positive returns regardless of market direction
Performance is measured in absolute terms (e.g., +5 percent) rather than to benchmark
Risk-controlled & consistent return generation across market cycles
Last changed3 days ago