Financial Market Risks

Fall 2019, ETH D-MTEC, Prof. Didier Sornette

Fall 2019, ETH D-MTEC, Prof. Didier Sornette


Kartei Details

Karten 31
Sprache English
Kategorie Finanzen
Stufe Universität
Erstellt / Aktualisiert 30.12.2019 / 12.01.2020
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Examples for commodities & forms to trade them

Commodities are raw materials categorized as energy (oil, gas, power), metals (industrial, rare earth) or agriculture (grains, veg. oil, meats)

Traded in physical form as:

  • Forward: agreement to buy a fixed amount at a fixed price on a set date; contract only between two parties, not traded on the market --> OTC
  • Future: same as forward, but traded on the market

How to caluculate average risk premium of different assets

\(\text{avg. risk premium of a}=\text{real rate of return of a}-\text{real rate of return of risk-free asset}\)

risk-free asset: treasury bill for example

Skewness & kurtosis of a distribution curve and what do investors prefer

  • Skewness: symmetricity of the curve
    skewness = 0 --> symmetric
    skewness > 0 --> skewed right
    skewness < 0 --> skewed left
    Investors prefer right skewed distributions since probability for low return is smaller
  • Kurtosis: weight of the tails of a curve
    kurtosis = 3 --> normally distributed
    kurtosis > 3 --> leptokurtic (fat tails)
    kurtosis < 3 --> platykurtic (thin tails)
    Investors prefer platykurtic distributions since they have fewer risks (outliers)

Correlation formula & range of values

\(\rho (X,Y)=\frac{Cov[X,Y]}{\sqrt{Var[X]\cdot Var[Y]}}\)

 

\(\rho>0\): correlated

\(\rho<0\): anti-correlated

\(\rho=0\): uncorrelated

Portfolio variance - formula for a 2-stock portfolio

\(\text{portfolio variance}=x_1^2\sigma_1^2+x_2^2\sigma_2^2+2(x_1x_2\rho_{12}\sigma_1\sigma_2)\)

\(x_i\): portion of stock in portfolio

\(\sigma_i\): standard deviation of stock i return

\(\rho_{12}\): correlation between return of stocks 1 & 2

Portfolio variance - formula for a N-stock portfolio

\(\text{portfolio variance}=N(\frac{1}{N})^2\cdot\text{avg. variance}+(N^2-N)(\frac{1}{N})^2\cdot\text{avg. covariance} \)

\(=\frac{1}{N}\cdot\text{avg. variance}+(1-\frac{1}{N})\cdot\text{avg. covariance}\)

Market risk

Risk that remains in a fully diversified portfolio. Since portfolio variance converges to the market risk (rather than to 0), it is sufficient to buy a representative slice of the market to get a well-diversified portfolio.

Well-diversified portfolio

Portfolio whose risk equals the market risk --> \(\beta=1\)

Beta (\(\beta\)) - definition, formula and meaning of ranges

Measure of the sensitivity of a security to the overall market movements

\(\beta_i=\frac{\sigma_{im}}{\sigma_m^2}=\frac{\text{covariance of i with market}}{\text{variance of market}}\)

\(\beta>1\): asset is more volatile than the market

\(\beta<1\): asset is less volatile than the market

\(\beta=1\): sensitivity of an average stock/well-diversified portfolio

Lower order vs. higher order of risk measure

By changing towards higher order of risk measure, the distribution function pays more attention on the outliers --> reflects the risk-return distribution more accurate.

Portfolios with higher order of risk measure have a higher volatitlity, but lower large risks and thus higher expected return.

Cockroach portfolio

Portfolio that consists of...

  • 25% equities
  • 25% gold
  • 25% government bonds
  • 25% cash

Over the last 40 years, this portfolio showed a very high sharpe ratio.

Capital asset pricing model (CAPM) - definition, assumptions & formula

First risk-return model for valuing a single stock in the portfolio --> mean-beta.

\(r_i=r_f+\beta_i(r_m-r_f)\)

\(r_i\): expected return of stock i; \(r_f\): risk-free return; \(r_m\): expected return of the market portfolio;
\(\alpha=r_f\): profitability; \(\beta_i\): beta of stock i and market portfolio

Assumptions:

  • markets are perfectly competitive
  • no taxes or transaction costs
  • all investors are rational mean-variance optimizers
  • all investors have perfect information

Bet against beta

Short high-beta assets and long low-beta assets

Arbitrage pricing theory (APT) - definition and assumptions

APT offers an alternative to the CAPM (CAPM is part of APT, but APT goes further).

Assumptions:

  • returns depend linearly on multiple arguments (industry factors, interest rates, exchange rates, oil prices etc.)
  • number of assets is close to \(\infty\)
  • investors have homogenous expectations (as CAPM)
  • capital markets are perfect (as CAPM)

Fama-French 3-factor model

Model derived by Fama and French that expands the CAPM by adding size risk and value risk to the market risk factor. It considers the fact that value stocks (high book-value/stock-value) and small-capital firms outperform markets.

Random walk

Random walk theory states that the next move of a stock price (up or down) is random. Theory was one of the only ones that was first developed in finance and then adopted by physics.

Efficient market hypothesis (EMH) - definition, assumption and conclusion

The EMH states that ideally markets should fully reflect all available information instantly, hence, it is impossible to beat the market.

Assumption: humans are fully rational

Conclusion: expected return on bills predict inflation

Forms of efficiency

  • Weak form of efficiency: market prices reflect all historical price information
  • Semi-strong form of efficiency: market prices reflect all publicly available information
  • Strong form of efficiency: market prices reflect all information, both public and private
    --> generally does not hold

Endogenous and exogenous shock

  • Endogenous shocks are constructuve --> static increase (e.g. word-of-mouth)
  • Exogenous shocks are steps --> 0 to 1 instantly (e.g. advert campaign)

Derivatives and options

  • Derivative: any financial instrument that is derived from another --> based on a stock, commodity, exchange rate, asset etc.
    Examples for derivatives: futures, swaps, options
  • Options: form of derivative; opportunity to buy (call option) or sell (put option) a stock for a fixed price (exercise/strike price) until a certain expiration date
    Buyer: right to buy (call), sell (put)
    Seller: obligation to sell (call), buy (put)

Graph of a call option value as a function of share price (including an option price (premium))

    

Protective put

Combination of a stock and a put option to cancel out risk of loss (by put)

Straddle

Combination of put and call option to ensure earnings

Call-put parity - definition & formula

Options with higher volatility have higher prices (higher propability to earn money).
Value of a call lays between two bounds:
- upper bound = share price
- lower bound = payoff if exercised immediatly

value of call + present value of excercise price = value of put + share price

\(C(t)+K\cdot B(t,T)=P(t)\cdot S(t)+\text{carrying cost}-\text{dividend}\)

\(K\): exercise/strike price

\(B(t,T)=e^{-r(T-t)}\): discounting factor

Black-Scholes theory - definition & formula

Theory used to price options. Crucial benefit is that the risk-adjusted return (premium) is not needed, instead the risk-free rate is applied to calculate the option price (risk premium is already included in the stock price).
Option value is based on:

  • volatility
  • stock price
  • exercise/strike price
  • risk-free interest rate

\(C=[N(d_1)\cdot S]-[N(d_2)\cdot PV(K)]\)

\(C\): call option price; \(S\): stock price

\(N(d_i)\): cumulative normal density function of di\(PV(K)=\frac{K}{(1+r_0)^n}\): present value of strike price

Real option - definition, special characteristic and types

The right, but not the obligation, to undertake some business decision.
Special characteristic: higher risks --> higher value (from the fact that downside is limited to zero, but upside has no limit)

4 types of real options:

  • opportunity to expand
  • opportunity to wait
  • opportunity to shrink or abandon
  • opportunity to vary the ouput or production method mix

Difference between net present value (NPV) and real options

Net present value does not take into account changes of the stragety during the lifetime of a project, real options do.

Bond - definition, variables & formula for bond value

A bond is a securitized loan.

  • Principle amount: amount over which interest rates are paid and which has to be repaid at the end
  • Coupons: coupon rate - interest rate to be paid
    coupon dates - dates on which coupons are paid
  • Maturity: date on which the principle amount has to be repaid

\(PV=\displaystyle\frac{P}{(1+R)^N}+\displaystyle\sum_{i=1}^{N}\frac{C_i}{(1+R)^i}\)

\(C_i:\ \text{coupon rate}\cdot\text{principle amount}\)

\(R\): Yield-to-maturity (YTM)

Forward rates

A 3-year bond return with interest rate \(r_3\) can be seen as \((1+r_3)^3\) or by using different rates for each year \((1+f_1)\cdot (1+f_2)\cdot (1+f_3)\) --> ability to find 2nd year forward rate

How to calculate abnormal return using the market model

\(\text{abnormal return}=\text{r}-(\alpha+\beta\cdot r_m)\)

\(r\): actual return
\(r_m\): market return

Straddles & Butterflies

  • Straddle: simultaneously buy a call and a put with same premium and exercise price
    bet on high volatility --> if price moves heavily in the future (regardless of the direction) one of the options becomes valuable (the higher the price movement the higher the profit)
  • Butterfly: simultaneously buy one call with exercise price 100, sell two calls with exercise price 110 and buy one call with exercise price 120
    bet on low volatility --> if price moves only little or is stable, combination of options becomes valuable