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Author: Allan Timmermann
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Languages : en
Pages :
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This paper studies asset allocation decisions in the presence of regime switching in asset returns. We find evidence that four separate regimes - characterized as crash, slow growth, bull and recovery states - are required to capture the joint distribution of stock and bond returns. Optimal asset allocations vary considerably across these states and change over time as investors revise their estimates of the state probabilities. In the crash state, buy-and-hold investors allocate more of their portfolio to stocks the longer their investment horizon, while the optimal allocation to stocks declines as a function of the investment horizon in bull markets. The joint effects of learning about state probabilities and predictability of asset returns from the dividend yield give rise to a non-monotonic relationship between the investment horizon and the demand for stocks. Out-of-sample forecasting experiments confirm the economic importance of accounting for the presence of regimes in asset returns.
Author: Allan Timmermann
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ISBN:
Category :
Languages : en
Pages :
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Book Description
This paper studies asset allocation decisions in the presence of regime switching in asset returns. We find evidence that four separate regimes - characterized as crash, slow growth, bull and recovery states - are required to capture the joint distribution of stock and bond returns. Optimal asset allocations vary considerably across these states and change over time as investors revise their estimates of the state probabilities. In the crash state, buy-and-hold investors allocate more of their portfolio to stocks the longer their investment horizon, while the optimal allocation to stocks declines as a function of the investment horizon in bull markets. The joint effects of learning about state probabilities and predictability of asset returns from the dividend yield give rise to a non-monotonic relationship between the investment horizon and the demand for stocks. Out-of-sample forecasting experiments confirm the economic importance of accounting for the presence of regimes in asset returns.
Author: Massimo Guidolin
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ISBN:
Category : Asset allocation
Languages : en
Pages : 33
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Author: Daryn Michael Videlefsky
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Category : Finance
Languages : en
Pages : 260
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Author: Ka-chun Cheung (Ph.D.)
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Category : Asset allocation
Languages : en
Pages : 240
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Author: Huy Thanh Vo
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ISBN:
Category :
Languages : en
Pages : 130
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Author: Ka-Chun Cheung
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ISBN: 9781361203781
Category :
Languages : en
Pages :
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This dissertation, "Optimal Asset Allocation Problems Under the Discrete-time Regime-switching Model" by Ka-chun, Cheung, 張家俊, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of the thesis entitled OPTIMAL ASSET ALLOCATION PROBLEMS UNDER THE DISCRETE-TIME REGIME-SWITCHING MODEL submitted by Cheung, Ka Chun for the degree of Doctor of Philosophy at The University of Hong Kong in January 2005 Recently, academics and practitioners have started paying attention to using the Markov Regime-Switching process to model asset price dynamics. The Markov Regime-Switchingmodelcancapturetherealitythattheinvestmentenvironment is changing over time and hence is non-stationary. Another merit of the model is that it can provide a reasonable degree of analytical tractability. In this thesis, the optimal behavior of an investor in a Markov regime-switching environment will be examined. The thesis studies the optimal dynamic asset allocation strategy, the optimal consumption strategy in the presence of default risk, and the optimal surrender strategy of an equity-linked investment product. By employing the concept of stochastic dominance and assuming that the transition matrix is stochasticallymonotone, where both the concept and assumption have natural and appealing financial interpretations, it was shown that the optimal behavior of the investor is consistent with our intuition. As default risk is an important subject in mod- ern finance and actuarial science, this thesis also studies the optimal portfolio problem in which financial instruments are subject to dependent default risks. Sufficient condition to order the optimal allocations was obtained. The analy- sis demonstrates that in the optimal portfolio problem context, the dependency structure between the default risks is essential and cannot be ignored. DOI: 10.5353/th_b3131123 Subjects: Asset allocation - Mathematical models Markov processes
Author: Massimo Guidolin
Publisher:
ISBN:
Category : Asset allocation
Languages : en
Pages : 34
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Author: Massimo Guidolin
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ISBN:
Category : Asset allocation
Languages : en
Pages : 0
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Author: Andrea Bartolucci
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ISBN: 9783668367944
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Languages : en
Pages :
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Author: Raphael Vial
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Category :
Languages : en
Pages : 0
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Multivariate regime-switching presents an efficient way of jointly modeling the cyclical behavior of financial time series. Standard regime-switching models thereby a priori determine the relationship between the regime-switches of individual assets. These switches are usually assumed to be either perfectly synchronized or fully independent. However, neither assumption seems realistic in practice. This thesis develops a multivariate Markov regime-switching model to infer the actual degree of synchronization from the underlying data. This flexible model allows subgroups of assets to be driven by individual Markov chains. At the same time, these Markov chains underlie a dynamically changing degree of synchronization. In comparison to most existing solutions, this model is not restricted to bivariate analysis. To keep the model traceable, a novel factorization algorithm for the regime-dependent correlation matrix is formulated. This algorithm scales down the increase in parameters and presents an efficient way of ensuring positive semi-definite correlation matrices. The structure of the flexible regime-switching model is motivated by the initial synchronization analysis conducted in this thesis. The analysis of univariate regime-switching results shows that neither perfectly synchronized nor fully independent regime cycles are empirically observable. The synchronization of regime cycles tends to dynamically change over time. Some assets, however, might show more contemporaneous switching dynamics and can therefore be governed by a joint regime process. The empirical results for a sample of six international equity markets confirm the assumptions underlying this thesis. The flexible model reveals a stable synchronization factor, marked by one particular change in synchronization. The estimated parameters of this model closely cover the individual dynamics of their underlying assets and confirm the model's validity. Moreover, in some.
