Monte Carlo methods is more advantageous with more uncertainties of data in the financial market. It can also be used for generating draws from a probability distribution.
Q: Which of the following is a justification framework for the mean-variance approach? a)if trading is…
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A: EFFICIENT MARKET IS THE MARKET WHICH CORRECTLY PRICE THE ASSET
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Q: Why do most assets of the same type show positive covariances of returns with each other?
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Q: Explain risk arbitrage
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Q: which of the following quantifies how closely a manager's return pattern follows that of a benchmark…
A: Managers' performance is evaluated on the basis of pattern that follows with benchmark index.
Q: What happens to the SML graph when risk aversion increasesor decreases?
A: Risk Aversion: The ability of a human being to avoid the risk and eventually reducing losses that…
Q: Which are the more complex applications of rate-of-return techniques/
A: The question is based on the concept of rate of return and its application in finance
Q: Does the use of universes of managers with similar investment styles to evaluate relative investment…
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Q: Why the advantage of Portfolio analysis is it stimulates the use of externally oriented data to…
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Q: I can use the regression beta as my estimate of beta in a valuation. True or false
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Q: quantitative risk analysis:
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Q: Illustrate the calculation of the standard deviation of returns?
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Q: Describe the relation between Risk and Returns that was introduced by Harry Markowitz
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Q: Explain Key Statistical Relationships between Covariance and Correlation of Returns?
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Q: in a Statistical sense, the Single Index Model is best characterized by: the Capital Market Line The…
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Q: What is the general goal of trend analysis?
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Q: Explain arithmetic mean returns?
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Q: Critically discuss the application of EWMA, GARCH and asymmetric GARCH models to volatility…
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Q: As a risk measure, Expected shortfall is more accurate and reliable in comparison to Value-at-Risk.…
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Monte Carlo methods is more advantageous with more uncertainties of data in the financial market. It can also be used for generating draws from a probability distribution.
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- Critically discuss the application of EWMA, GARCH and asymmetric GARCH models to volatility estimation in financial engineering.What is meant by volatility clustering? Briefly describe two models that areused to describe data processes with volatility clustering?Some financial theorists consider the variance of the distribution of expected rates of return to be a good measure of uncertainty. Discuss the reasoning behind this measure of risk and its purpose.
- The following methods are used to measure market risk in the industry, except A Regression method B Historical simulation method C Delta-normal method D Monte Carlo methodThe higher a security's risk, the higher the return investors demand, and thus the less they are willing to pay for the investment. What do you understand from the statement mentioned above? Explain with necessary numerical data, and illustrate by means of a chart.What are some pros and cons of computing an expected return using a user-specified model versus estimating it from historical data?
- Why the advantage of Portfolio analysis is it stimulates the use of externally oriented data to supplement management’s judgment?Which of the following is a justification framework for the mean-variance approach? a)if trading is continuous and asset prices follow a multi-dimensional geometric Brownian motion with drift.b)If the investors’ state-specific utility is an exponential function of the assets variance. c)If investors’ preferences for risk are inter-dependent and serially correlated with asset returns.d)If the returns of all assets follow the Mandelbrot distribution.Risk means, in today's language, the probability of something bad happening or an unfortunate outcome. Risk in finance, however, is defined as the variance of the probability distribution of returns. a.) Why do these definitions seem contradictory? b.) Reconcile the two ideas.
- Briefly describe what is the low tail risk in econometrics.Hello This chapter is about security returns, and i dont understand what "Gamma, y" is in both of these equation. They are supposed to be First and Second-pass regression equation. What is Gamma used for and how does this have a relation with the CAPM formulaOne important assumption behind portfolio theory is that investors are “mean-variance maximizers.” What is the meaning of this? Explain why this assumption is important in the delineation of the efficient frontier.