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We extends the aggregate risk modeling approach to include the regime switching risk triggered by a `regime shift' in economic conditions and to uncertainty aversion (robust control). We use a regime switching process rather than the popular diffusion-jump process for a number of reasons....
Persistent link: https://www.econbiz.de/10005343011
Long-range dependence in volatility is one of the most prominent examples of applications in financial market research involving universal power laws. Its characterization has recently spurred attempts at theoretical explanation of the underlying mechanism. This paper contributes to this recent...
Persistent link: https://www.econbiz.de/10005343031
Persistent link: https://www.econbiz.de/10005345425
In this paper, we examine an exchange economy with a financial market composed of three assets: a share of a stock, an European call option written on the stock, and a riskless bond. The financial market is assumed to be incomplete and the option is not a redundant asset. In such a case the...
Persistent link: https://www.econbiz.de/10005345558
For abstract, see the full paper
Persistent link: https://www.econbiz.de/10005345581
This paper contributes to the development of recent literature on the explanation power and calibration issue of heterogeneous asset pricing models by presenting a simple stochastic market fraction asset pricing model of two types of traders (fundamentalists and trend followers) under a market...
Persistent link: https://www.econbiz.de/10005132656
We study the extent to which self-referential adaptive learning can explain stylized asset pricing facts in a general equilibrium framework. In particular, we analyze the effects of recursive least squares and constant gain algorithms in a production economy and a Lucas type endowment economy....
Persistent link: https://www.econbiz.de/10005537401
We consider a simple pure exchange economy with two assets, one riskless, yielding a constant return, and one risky, paying a stochastic dividend, and we assume trading to take place in discrete time inside an endogenous price formation setting. Traders demand for the risky asset is expressed as...
Persistent link: https://www.econbiz.de/10005537477
Recent research has shown a variety of computational techniques to describe evolution in an artificial stock market. One can distinguish the techniques based on at which level the learning of agents is modeled. The previous literature describes learning at either individual or social level. The...
Persistent link: https://www.econbiz.de/10005537496
We consider a simple asset-pricing model with one risky and one riskless asset in discrete time. In each trading period heterogeneous boundedly rational agents form their individual demand for the risky asset, and then the price of the asset is determined via Walrasian mechanism imposing a...
Persistent link: https://www.econbiz.de/10005537633