Models Flashcards

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1
Q

Practical use of a positive model?

A

identify mispricing of securities by recognizing patterns in actual price movement.(technical analysis)

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2
Q

Practical use of a normative model?

A

identify the potential mispricing of securities by identifying how securities should be priced (e.g. arbitrage free models).

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3
Q

Difference between an Abstract and an Applied model?

A
  • Applied models are designed to address immediate real-world challenges and opportunities.
  • Abstract models, also called basic models, tend to solve real-world challenges of the future.
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4
Q

Cross-sectional model

A

Cross-sectional models analyze relationships across characteristics or variables observed at a single point in time

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5
Q

Time-series model

A

Time-series models analyze behavior of a single subject or set of subjects through time.

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6
Q

Panel data sets

A

tracking multiple subjects through time and is combination of Cross-Sectional and Time-Series

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7
Q

Vasicek model

A

Vasicek’s model is a single-factor model that assumes constant volatility and that the short-term rate is mean reverting.

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8
Q

Cox, Ingersoll, and Ross model (CIR model)

A

Alters the Vasicek model to make the variance of the short-term interest rate proportional to the rate itself (no negative interest rates)

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9
Q

In Fixed Income what is the difference between Equilibrium models and Arbitrage-free models

A

Equilibrium make assumptions about the structure of the market and then use economic reasoning to model bond prices and the term structure.

Arbitrage-free models take the current interest as a given and model bond prices and the yield curve from there.

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10
Q

Ho and Lee model

A

Single-factor model that assumes that the short-term interest rate follows a normally distributed process, with a drift parameter (to match the observed curve)

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11
Q

Black–Derman–Toy Model (BDT model)

A

Interest rate model that centers on two relations: one focused on average forward rates and one on interest rate volatilities

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12
Q

What is the difference between a Q Measure and P Measure?

A

A Q-Measure is a biased measure (typicaly assumes risk neutrality) and P-Measure indicates an actual statistical probability

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13
Q

Examples of credit events

A

bankruptcy, downgrading, failure to make timely payments, certain corporate events, and government actions

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14
Q

Adverse selection

A

parties to a transaction have access to different information (information asymetry). Typically present before a transaction.

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15
Q

Moral Hazard

A

occurs when one party takes on more risk while the counter party bears the risk (after the transaction)

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16
Q

Three types of credit risk modeling approaches

A

the structural approach, the reduced-form approach, and the empirical approach

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17
Q

Merton Model

A

Structural Model whereby it assumes that default happens at the maturity of the debt if the asset value falls below the face value of the debt. (Highly restrictive model due to its assumptions)

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18
Q

4 important properties of the Merton Model

A
  1. Sensitivity to maturity (cum. PD increases as time increases).
  2. Sensitivity to asset volatility (PD increases as volatitlity increases)
  3. Sensitivity to leverage (PD increases as leverage increases)
  4. Sensitivity to Riskless rate (PD decreases as RF is higher)
19
Q

What is the KMV model and what is its main output?

A

A structural credit risk model based on Merton that produces a credit score

20
Q

Reduced-Form Models assume

A

Default is exogenous

21
Q

Default intensity

A

Expected time to default (1/λ) and the probability of survival. The higher the default intensity, the shorter the expected time to default.

22
Q

Jarrow–Turnbull

A

reduced form model that assumes that regardless of timing of default, recovery is received at the maturity date (extended version includes credit ratings)

23
Q

Duffie–Singleton model

A

reduced form model that allows the recovery process to occur at any time and sets the recovery amount to be a fraction.

24
Q

Main beliefs empirical credit model

A
  1. the default process is too difficult to be modeled

2. primary goal is to give a credit score

25
Q

Altman’s Z-Score Model

A

Uses financial ratios to generate a Z-score which gives a relative rank of likelyhood of default. Higher score is better.

26
Q

Five determinants Altman’s Z-Score

A
X1 = Working Capital / Total Assets
X2 = Retained Earnings /Total Assets
X3 = EBIT / Total Assets
X4 = MVE / Book value total liabilities
X5 = Sales / Total Assets
27
Q

What is a factor?

A

factor represents a unique source of return and a unique premium in financial markets

28
Q

Three major categories of factors

A

Macroeconomic, Fundamental, Statistical

29
Q

Which two factors are added in the Fama-French Five Factor Model

A

Robust minus Weak (strong accounting profit)

Conservative minus Aggressive (Conservative=lower rate of investment in corporate assets)

30
Q

Why are Fama-French models are of limited application to alternative asset returns that do not involve public equities?

A

Alternative assets do not tend to have the same factor exposures as traditional assets

31
Q

What are the three observations on Factor investing from Ang (2014)

A
  1. Factors matter not assets (assets are merely a way to access factors).
  2. Assets are bundles of factors
  3. Different investors should focus on different factors
32
Q

What are the 4 important practical implications of an adaptive view of the markets?

A
  1. Time-Varying Risk Premiums (risk premiums vary over time)
  2. Market Efficiency is a Relative Concept (it has varying degrees)
  3. Adaptation for Success and Survival (trading strategies should evolve with the time)
  4. Inevitable degredation of Alpha
33
Q

Two popular approaches to modeling time-varying volatility as a stochastic process

A

Heston: volatility is a continuous stochastic process and volatility reverts to a long term mean.

Bates: Similar to Heston model but allows for a jump process

34
Q

Explain negative volatility risk premium

A

Lower expected return from positive exposure to volatility because positive exposure has negative beta

35
Q

An important implication of time-varying volatility

A

non-normality of returns

36
Q

What does it mean if a portfolio dominates another portfolio

A

higher returns with the same level of risk

37
Q

Risk averse investor

A

Has a concave utility function (increasing at a decreasing rate) and requires higher expected return to bear risk

38
Q

What does mean-variance optimization lead to and how can this be overcome?

A

typically leads to unrealistic weights which can be overcome by imposing limits on the weights

39
Q

Hurdle rate

A

hurdle rate is the minimum expected rate of return that a new asset must offer in order to be a beneficial inclusion in an otherwise existing optimal portfolio.

40
Q

two types of illiquidity risks

A

Market liquidity risk arises when an event forces an investor to sell an asset that is not actively traded and there are a limited number of active market participants.

Funding liquidity risk arises when a borrower or investor is unable to immediately pay what is owed. A forced liquidation of assets may occur

41
Q

Primary innovation of the Black–Litterman approach

A

it allows the investor to blend asset-specific views of each asset’s expected return

42
Q

Three steps in implementing a Risk-Parity approach

A
  1. Define the total risk of the portfolio
  2. Define a method to measure marginal risk contribution
  3. Determine portfolio weights
43
Q

new investment model

A

Beta is sought through investment products that cost-effectively offer returns driven by beta and Alpha is sought independently of beta.