Kapitel 3 Portfolios Flashcards
What is a portfolio?
A portfolio is a collection of different asset positions which are owned by the same investor, group of investors or the same company.
How does the risk of a portfolio differ from the risk of the individual positions ?
A portfolio’s risk is lower than the risk of its individual positions because the positions tend to move in different directions, reducing the overall risk.
What is the volatility of a portfolio?
The volatility of a portfolio is a measure of how much the value of the portfolio fluctuates over time. It is calculated by taking the standard deviation of the returns of the portfolio.
Why is the volatility of a portfolio not equal to the weighted average of the volatilities of the individual portfolio constituents?
A portfolio’s volatility is not the weighted average of its constituents’ volatilities due to compensation effects between positions. This can result in a lower overall portfolio volatility than the weighted average of individual positions.
How are covariance and correlation coefficient used to measure the interdependencies between the positions in a portfolio?
Covariance is a measure of how much the returns of two assets move together. Correlation coefficient is a measure of how closely the prices of two assets move together. Both covariance and correlation coefficient can be used to measure the interdependencies between the positions in a portfolio.
What is portfolio selection?
Portfolio selection is the process of choosing the assets that will make up a portfolio. The goal of portfolio selection is to create a portfolio that has the desired level of risk and return.
How does portfolio selection impact the return of the investment?
Portfolio selection can impact the return of the investment in two ways. First, the choice of assets can impact the expected return of the portfolio. Second, the diversification of the portfolio can impact the volatility of the portfolio.
What is the beta of a portfolio?
The beta of a portfolio is the weighted average of the betas of the assets in the portfolio.
What is the importance of beta?
Beta is an important measure of risk because it can be used to estimate the risk of a portfolio. A higher beta means that the portfolio is more risky, while a lower beta means that the portfolio is less risky.
What is historical simulation?
Historical simulation is a non-parametric approach to estimating value-at-risk (VaR). It does not require any distributional assumptions about the underlying risk factors. Instead, it uses historical data to generate a distribution of possible outcomes.
How does historical simulation work?
Historical simulation works by first collecting historical data on the risk factors that drive the value of the portfolio. These risk factors can include stock prices, interest rates, and exchange rates. The next step is to calculate the resulting returns for each historical data point. These returns are then sorted from worst to best. The quantile of interest is then determined by counting the number of returns that are worse than the quantile of interest.
What are the benefits of historical simulation?
The benefits of historical simulation include:
It is relatively easy to implement.
It does not require any distributional assumptions.
It can be used to estimate VaR for any type of asset or portfolio.
What are the limitations of historical simulation?
The limitations of historical simulation include:
It is only as good as the historical data that is used.
It is not as accurate as parametric methods when the underlying risk factors are not normally distributed.
It can be sensitive to outliers in the historical data.
What is backtesting?
Backtesting is a method of evaluating the accuracy of a VaR model by comparing the model’s predictions to actual losses.
What is the purpose of backtesting?
The purpose of backtesting is to ensure that a VaR model is providing accurate and reliable estimates of risk.