Chapter 5: Market Risk Flashcards

(38 cards)

1
Q

What is Volatility risk

A

The risk of price movement that are more uncertain than usual affecting the pricing of products. Has the biggest affect on options market

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is Market liquidity risk

A

The risk of loss through not being able o trade in a market or obtain a price on a desired product when required

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is Currency risk

A

The risk that adverse movements in exchange rates drastically affect the value of a portfolio or instrument

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is basis risk

A

This is the risk that, when hedging a position, the two instruments are not equal and opposite, but in fact behave in a similar manner

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is interest rate risk

A

the risk that adverse movements in interest rates will directly affect fixed-income securities, futures, options and forwards

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is commodity price risk

A

The risk of adverse price movements in the value of a commodity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is Equity price risk

A

The risk that the share price decreases or fails to rise in line with inflation. Also includes the risk that dividends may decrease or not be paid at all

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What are boundary issues

A

When multiple types of risk overlap/cause/affect one another

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What are market risk limits

A

A ‘stop-loss’ and may be expressed in terms of VaR or as an absolute number

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What do the market risk function do

A

Ownership of market risk management policy
Proactive management of market risk issues
Define escalation procedures
Validate Pricing and VaR models
Daily monitoring of risk utilization

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is the central tendency

A

A typical value taken from market datasets that captures the ‘essence’ of the distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is the dispersion

A

How far values stray from the typical value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What are the measures of central tendency

A

Mean
Median
Mode

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What are the measures of dispersion

A

Range
Quartile deviation
Variance
Standard Deviation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is quartile deviation

A

A measure of dispersion through the middle half f the distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

How to calculate quartile deviation

17
Q

What is variance

A

A measure of dispersion and shows the spread of data around the mean

18
Q

How to calculate variance

A

the sum of the squares of the differences between the mean and each value divided by the number of values (Or number of values - 1 when using a sample)

19
Q

How to calculate standard deviation

A

Square root of the variance

20
Q

How often are returns within within one standard deviation of the mean

21
Q

What is distribution analysis

A

A statistical means of using historical data to predict future events and relies on an understanding of probability distributions

22
Q

What percentage of the data in a normal distribution will be within 2 standard deviations

23
Q

What percentage of the data in a normal distribution will be within 3 standard deviations

24
Q

What is regression analysis

A

A statistical tool for the investigation of relationships between variables. The effect of one variable on another.

25
What is the correlation coefficient
It measures the strength of the relationship between two variables
26
advantages of VaR
Provides statistical probability of potential loss Easily understood by non risk managers Translates all risks in a portfolio into a common standard
27
Disadvantage of VaR
Does not specify maximum loss outside of the confidence level
28
What is back testing
The practice of comparing the actual daily trading exposure to the previously predicted VaR figure
29
What are the three ways VaR can be calculated
Historical simulation The Parametric Monte Carlo simulation
30
What is the historical simulation
Involves looking back at what actually happened in the past and basing our view of the future o that analysis
31
What is the parametric approach
This assumes that the distribution of possible returns can be plotted, based on a small number of factors, so that the required confidence level can be 'read off' the graph
32
What is the Monte Carlo Simulation
Involves generating random set of results based on the actual underlying risk factors and again 'reading off' the graph
33
What is the difference between stress testing and scenario analysis
The number of variables that are altered
34
Advantages of historical simulation
Simple to communicate to non experts No need to make assumptions about the distribution of returns No need to estimate volatilities or correlations
35
Disadvantages of historical simulation
Assumes that history will repeat itself which often is not the case
36
Advantages of Parametric approach
The simplest way to calculate VaR Minimal computation time No simulations required
37
Disadvantages of Parametric approach
The actual returns have to be normally distributed or the results will be incorrect Cannot be used with securities such as options as not normally distributed
38
Advantages of Monte Carlo Method
Can be used on non-normally distributed instruments