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Theoretical Explanation of Return Predictability Based on Stock Price Formulation
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作者 郭磊 吴冲锋 王欣荣 《Journal of Southwest Jiaotong University(English Edition)》 2006年第1期89-93,共5页
To find out which factors determine stock return and to give rational explanation of return predictability, according to the principle of stock price formulation, the trend of stock price is obtained by use of option ... To find out which factors determine stock return and to give rational explanation of return predictability, according to the principle of stock price formulation, the trend of stock price is obtained by use of option pricing method. The trend of stock price is put into reconstructing CAPM (capital asset pricing model) beta; it is concluded that the firm-specific biases and the scale biases potentiaUy induce return predictabih'ty. In addition, through the relation between the biases structure and the intrinsic value, an appropriate theoretic explanation is supplied for three-factor pricing model proposed by Fama and French. 展开更多
关键词 Return predictability Value elasticity Scale bias Firm-spedfic bias
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On Almost Sure Max-limit Theorems of Complete and Incomplete Samples from Stationary Sequences 被引量:2
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作者 Bin TONG Zuo Xiang PENG 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2011年第7期1323-1332,共10页
Let Mn denote the partial maximum of a strictly stationary sequence (Xn). Suppose some of the random variables of (Xn) can be observed and let Mn stand for the maximum of observed random variables from the set {X1... Let Mn denote the partial maximum of a strictly stationary sequence (Xn). Suppose some of the random variables of (Xn) can be observed and let Mn stand for the maximum of observed random variables from the set {X1,..., Xn}. In this paper, the almost sure limit theorems related to random vector (Mn, Mn) are considered in terms of i.i.d, case. The related results are also extended to weakly dependent stationary Gaussian sequence as its covariance function satisfies some regular conditions. 展开更多
关键词 Almost sure limit theorem MAXIMUM missing observations stationary Caussian sequence
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A contagion model with Markov regime-switching intensities 被引量:1
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作者 Yinghui DONG Guojing WANG 《Frontiers of Mathematics in China》 SCIE CSCD 2014年第1期45-62,共18页
We consider a two-dimensional reduced form contagion model with regime-switching interacting default intensities. The model assumes the intensities of the default times are driven by macro-economy described by a homog... We consider a two-dimensional reduced form contagion model with regime-switching interacting default intensities. The model assumes the intensities of the default times are driven by macro-economy described by a homogeneous Markov chain as well as the other default. By using the idea of 'change of measure' and some closed-form formulas for the Laplace transforms of the integrated intensity processes, we derive the two-dimensional conditional and unconditional joint distributions of the default times. Based on these results, we give the explicit formulas for the fair spreads of the first-to-default and second-to-default credit default swaps (CDSs) on two underlyings. 展开更多
关键词 Credit default swap (CDS) contagion model REGIME-SWITCHING change of measure
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