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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 …
Persistent link: https://www.econbiz.de/10010328471
and thereby excess volatility, persistence of price-dividend ratios, long-horizon return predictability and a risk premium …
Persistent link: https://www.econbiz.de/10011604908
This paper constitutes a first analysis on stock returns and stock return volatility of energy corporations from the … European utilities, they lead to an appreciation of oil and gas stocks. Most importantly, we show that oil market volatility … negatively affects European oil and gas stocks. In contrast, energy stock volatility is not driven by volatility of the resource …
Persistent link: https://www.econbiz.de/10010298026
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,...
Persistent link: https://www.econbiz.de/10010435583
In this paper we present an exact maximum likelihood treatment forthe estimation of a Stochastic Volatility in Mean …(SVM) model based on Monte Carlo simulation methods. The SVM modelincorporates the unobserved volatility as anexplanatory variable … Stochastic Volatility (SV)model. However, efficient Monte Carlo simulationmethods for SV models have been developed to overcome …
Persistent link: https://www.econbiz.de/10010324578
finance. The major attraction of these processes is their ability to generate various degrees of long memory in different … Bayesian forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of … volatility components. From a practical point of view, ML also becomes computationally unfeasible for large numbers of components …
Persistent link: https://www.econbiz.de/10010295106
forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of volatility … which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo … linear compared to optimal forecasts is small. Extending the number of volatility components beyond what is feasible with MLE …
Persistent link: https://www.econbiz.de/10010295151
Does the presence of arbitrageurs decrease equilibrium asset price volatility? I study an economy with arbitrageurs … effect). In equilibrium, the presence of arbitrageurs increases volatility when the inference effect dominates the arbitrage …
Persistent link: https://www.econbiz.de/10010283435
Persistent link: https://www.econbiz.de/10010324093
We consider a simple pure exchange economy with two assets, one riskless, yielding a constant return on investment, and one risky, paying a stochastic dividend. Trading takes place in discrete time and in each trading period the price of the risky asset is fixed by imposing market clearing...
Persistent link: https://www.econbiz.de/10010328454