of Capital Asset Pricing Model (CAPM), allowing for a wide class of error distributions which include normality as a … is too restrictive when testing the CAPM. We also propose exact multivariate diagnostic checks (including tests for …In diesem Papier schlagen wir exakte likelihood-basierte Tests auf Mittelwert-Varianz- Effizienz im Rahmen des CAPM vor …

period ahead; in the Volatility treatment, we also elicit subjective confidence intervals of forecasts, which we take as a … measure of perceived volatility. The realized asset price is derived from a Walrasian market equilibrium equation with non …-linear feedback from individual forecasts. Our experimental markets exhibit high volatility, fat tails and other properties typical of …

-variance analysis of alternative investments has been hampered by the lack of a systematic treatment of volatility in these markets … underlying volatility. For example, in art markets, auction houses often give price guarantees to the seller that resemble put … the price index, allowing to treat the volatility parameter as the object of interest. The model can be estimated using …

This paper focuses on the extraction of volatility of financial returns. The volatility process is modeled as a … the volatility is not observable, the logarithm of the daily high-low range is employed as its proxy. The estimation of … parameters and volatility extraction are performed using a modified version of the Kalman filter which takes into account the …

capital market, one of the most common being the Capital Asset Pricing Model (CAPM). After reviewing the literature in this … area, this study discusses the theoretical background of the CAPM model. After explaining the relationship between … systematic risk and the relation of these coefficients to the CAPM model predictions are tested. Thus, after data sampling to …

of cash flow versus discount rate news as in Campbell and Vuolteenaho (2004). We construct a new four-fold beta … that the downside cash flow beta and downside discount rate beta carry the largest premia. We subject our result to an …, periods, and return decomposition methods, and is the only component of beta that has significant out-of-sample predictive …

The Sharpe-Lintner Capital Asset Pricing Model (CAPM) implies a simple linear equation for pricing risky financial … assets, individually and in portfolios. CAPM finds that the relevant risk measure of individual financial assets held as a … beta. Beta coefficient is the measure of the systematic risk of risky assets. This paper explores beta coefficients of …