A test of the CAPM is developed conditional on a prior belief about the correlation between the true market return and the proxy return used in the test. Consideration is given to the effect of the proxy's mismeasurement of the market return on the estimation of the market model. Failure to...

This paper presents theoretical models and their empirical results for the return and variance dynamics of German stocks. A factor structure is used in order to allow for a parsimonious modeling of the first two moments of returns. Dynamic factor models with GARCH dynamics (GARCH(1,1)-M,...

The way in which market participants form expectations affects the dynamic properties of financial asset prices and therefore the appropriateness of different econometric tools used for empirical asset pricing. In addition to standard rational expectations models, this thesis studies a class of...

This paper attempts to examine the impact of merger and acquisition on Value at Risk (VaR) of China Eastern Airline. The VaR is estimated for the whole sample and pre-merger periods by three methods: RiskMetrics , AR-GARCH and Generalized Extreme Value (GEV). The regression-based model reports...

The international capital flows are intensifying due to the deepening of globalization and diversification of portfolios in international capital markets. These factors have contributed to the increased integration of international financial markets. A VAR model is carried out to analyze how a...

We examine correlation dynamics using daily data from 1993 to 2002 on the 5 largest eurozone stock market indices. We also study, for comparison, the correlations of a sample of individual stocks. We employ both unconditional and conditional estimation methodologies,including estimation of the...

This paper examines Pakistani Banks stock return and volatility relationship with market, interest rate and foreign exchange rate. The study extensively applies different statistical approaches to model return and volatility relation. First, Ordinary Least Square (OLS) multiple regression model...

This study explores the volatility models and evaluates the quality of one-step ahead forecasts of volatility constructed by (1) GARCH, (2) TGARCH, (3) Risk metrics and (4) Historical volatility. Volatility forecasts suggest that TGARCH performs relatively best in term of MSPE, followed by...

During the Great Moderation, borrowing by the U.S. nonfinancial sector structurally exceeded GDP growth. Using flow-of-fund data, we test the hypothesis that this measure of debt buildup was leading to lower output volatility. We estimate univariate GARCH models in order to obtain estimates for...

Several studies have highlighted the fact that heavy-tailedness of asset returns can be the consequence of conditional heteroskedasticity. GARCH models have thus become very popular, given their ability to account for volatility clustering and, implicitly, heavy tails. However, these models...