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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
This paper investigates the predictive ability of international volatility risk for the daily aggregate Chinese stock … international volatility risk proxies. We find that international volatility risks are negatively associated with contemporaneous … risk (DVIX) is particularly powerful in forecasting Chinese daytime stock returns, and plays a dominant role relative to …
Persistent link: https://www.econbiz.de/10012972144
There is a generalized conviction that variation in dividend yields is exclusively related to expected returns and not to expected dividend growth - e.g. Cochrane's presidential address (Cochrane (2011)). We show that this pattern, although valid for the aggregate stock market, is not true for...
Persistent link: https://www.econbiz.de/10013036406
This paper investigates the predictability of asset prices among developed and emerging markets. Weekly and monthly stock market indices from developed and emerging market economies are analysed to check the validity of weak-form of Efficient Market Hypothesis (EMH) using various empirical...
Persistent link: https://www.econbiz.de/10013101494
This paper examines the relationship between stock prices and commodity prices and whether this can be used to forecast stock returns. As both prices are linked to expected future economic performance they should exhibit a long-run relationship. Moreover, changes in sentiment towards commodity...
Persistent link: https://www.econbiz.de/10013050821
Using well-known GARCH models for density prediction of daily S&P 500 and Nikkei 225 index returns, a comparison is provided between frequentist and Bayesian estimation. No significant difference is found between the qualities of the forecasts of the whole density, whereas the Bayesian approach...
Persistent link: https://www.econbiz.de/10012976219
Bayesian model averaging (BMA) methods are regularly used to deal with model uncertainty in regression models. This paper shows how to introduce Bayesian model averaging methods in quantile regressions, and allow for different predictors to affect different quantiles of the dependent variable. I...
Persistent link: https://www.econbiz.de/10013022195
Value-at-Risk (VaR) forecasting via a computational Bayesian framework is considered. A range of parametric models are …
Persistent link: https://www.econbiz.de/10013038062
We propose a new approach to imposing economic constraints on forecasts of the equity premium. Economic constraints are used to modify the posterior distribution of the parameters of the predictive return regression in a way that better allows the model to learn from the data. We consider two...
Persistent link: https://www.econbiz.de/10013064939
estimates lead in turn to substantial gains for forecasting various risk measures at horizons ranging from a few days to a few … underestimation of risk during bad times or overestimation of risk during good times. We assess the attainable improvements in VaR …
Persistent link: https://www.econbiz.de/10013128339