Option-implied betas are a promising alternative to historical beta estimators, because they are inherently forward-looking and can incorporate new information immediately and fully. Recently, different implied beta estimators have been developed in previous literature, but very little is known...

Using a Bayesian time‐varying beta model, we explore how the systematic risk exposures of hedge funds vary over time conditional on some exogenous variables that managers are assumed to use in changing their trading strategies. In such a setting, we impose a structure on fund returns, betas...

We develop a continuous-time intertemporal CAPM model that allows for risky beta exposure, which we explicitly specify. In the model, the expected return on a stock depends on beta's co-movement with market variance and more generally with the stochastic discount factor and deviates from the...

We test whether bear market risk - time-variation in the probability of future bear market states - is priced. We construct an Arrow-Debreu security that pays off in bear market states (AD Bear) from traded S&P 500 index options and use its returns to measure bear market risk. We find that bear...

When two investors agree to disagree on market prospects and bet against each other, both expect to profit from their trades. Hence, an increase in disagreement leads to higher perceived trading profits and lower marginal utilities for both investors, so disagreement betas can affect...

This paper presents a parsimonious and theoretically-sound basis for extracting forward-looking measures of equity and commodity betas, and idiosyncratic variance.Defining forward-looking betas and idiosyncratic variance as perturbations of historical estimates, we use the market prices of...

Despite the arguments that can be made against using the CAPM, it is very widely used in regulation. In particular, it is relied upon in setting utility prices in each of Australia, New Zealand and the United Kingdom, and also features in this context in Germany. In addition, UK competition...

We investigate the time-scale relationships between the ten S&P sectors and the market through the use of wavelet analysis, a methodology that has widespread acceptance for investigating multi-horizon properties of time series. Our analysis of the data highlights that variation in the pattern of...

Starting from the Cholesky-GARCH model, recently proposed by Darolles, Francq, and Laurent (2018), the paper introduces the Block-Cholesky GARCH (BC-GARCH). This new model adapts in a natural way to the asset pricing framework. After deriving conditions for stationarity, uniform invertibility...