Showing 1 - 10 of 26,269
The relationship between risk and return is one of the most studied topics in finance. The majority of the literature … is based on a linear, parametric relationship between expected returns and conditional volatility. This paper models the …-realized variance. We find strong robust evidence of volatility feedback in monthly data. Once volatility feedback is accounted for …
Persistent link: https://www.econbiz.de/10013026110
This paper presents a method for Bayesian nonparametric analysis of the return distribution in a stochastic volatility … series and two stock index return series. We find that estimates of volatility using the model can differ dramatically from …
Persistent link: https://www.econbiz.de/10013133054
risk and return of two pairs trading strategies: a conditional statistical arbitrage method and an implicit arbitrage one … uncertainty with risk and return of stock trading. In terms of methodology, we show the effect that using an encompassing prior … better results in terms of profit per capital engagement and risk than using a standard linear normalization …
Persistent link: https://www.econbiz.de/10013056713
We propose a nonparametric method to study which characteristics provide incremental information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...
Persistent link: https://www.econbiz.de/10011888693
We quantify crash risk in currency returns. To accomplish this task, we develop and estimate an empirical model of …% (and can be as high as 40%) of total currency risk, as measured by the entropy of exchange rate changes, over horizons of … smiles and that jump risk is priced …
Persistent link: https://www.econbiz.de/10013037072
This study constructs a Bayesian nonparametric model to investigate whether stock market returns predict real economic growth. Unlike earlier studies, our use of an infinite hidden Markov model enables parameters to be time-varying across an infinite number of Markov-switching states estimated...
Persistent link: https://www.econbiz.de/10012899603
market volatility is modeled to have two components, one due to the diffusion risk and the other due to the jump risk. The … existence of leverage effects, the return-volatility relations are determined by interactions between risk premia and leverage …This paper investigates the return-volatility relation by taking into account the model specification problem. The …
Persistent link: https://www.econbiz.de/10014211845
This paper introduces a new tail risk measure based on the risk-neutral excess expected shortfall of a cross-section of … stock returns. We propose a novel way to risk neutralize the returns without relying on option price information …. Empirically, we illustrate our methodology by estimating a tail risk measure over a long historical period based on a set of size …
Persistent link: https://www.econbiz.de/10012993993
This paper shows how uncertainty about the type of return distribution (distribution uncertainty) can be incorporated in asset allocation decisions by using a novel, Bayesian semiparametric approach. To evaluate the economic importance of distribution uncertainty, the extent of changes in...
Persistent link: https://www.econbiz.de/10013126830
We implement a long-horizon static and dynamic portfolio allocation involving a risk-free and a risky asset. This model …
Persistent link: https://www.econbiz.de/10008797745