黄土边坡稳定性分析的概率方法

黄土边坡稳定性分析是一个不确定性问题,包含很多不确定性因素,而且土的抗剪强度可变性很大。在进行了大量实验的前提下,估计抗剪强度的可变性,运用概率的方法进行边坡的稳定性分析,计算黄土边坡的失稳概率。     

Forecasting dynamic return distributions based on ordered binary choice

We present a simple approach to the forecasting of conditional probability distributions of asset returns. We work with a parsimonious specification of ordered binary choice regressions that imposes a connection on sign predictability across different quantiles. The model forecasts the future conditional probability distributions of returns quite precisely when using a past indicator and a past volatility proxy as predictors. The direct benefits of the model are revealed in an empirical application to the 29 most liquid U.S. stocks. The forecast probability distribution is translated to significant economic gains in a simple trading strategy. Our approach can also be useful in many other applications in which conditional distribution forecasts are desired.     

Conditional assessment of the impact of a Hausman pretest on confidence intervals

In the analysis of clustered and longitudinal data, which includes a covariate that varies both between and within clusters, a Hausman pretest is commonly used to decide whether subsequent inference is made using the linear random intercept model or the fixed effects model. We assess the effect of this pretest on the coverage probability and expected length of a confidence interval for the slope, conditional on the observed values of the covariate. This assessment has the advantages that it (i) relates to the values of this covariate at hand, (ii) is valid irrespective of how this covariate is generated, (iii) uses exact finite sample results, and (iv) results in an assessment that is determined by the values of this covariate and only two unknown parameters. For two real data sets, our conditional analysis shows that the confidence interval constructed after a Hausman pretest should not be used.     

On dividends in the phase–type dual risk model

The dual risk model assumes that the surplus of a company decreases at a constant rate over time, and grows by means of upward jumps which occur at random times with random sizes. In the present work, we study the dual risk renewal model when the waiting times are phase-type distributed. Using the roots of the fundamental and the generalized Lundberg’s equations, we get expressions for the ruin probability and the Laplace transform of the time of ruin for an arbitrary single gain distribution. Then, we address the calculation of expected discounted future dividends particularly when the individual common gains follow a phase-type distribution. We further show that the optimal dividend barrier does not depend on the initial reserve. As far as the roots of the Lundberg equations and the time of ruin are concerned, we address the existing formulae in the corresponding Sparre-Andersen insurance risk model for the first hitting time, and we generalize them to cover also the situations where we have multiple roots. We do that working a new approach and technique, approach we also use for working the dividends, unlike others, it can be also applied for every situation.     

Expert opinion and probabilistic volcanic risk assessment

We present data from an international survey of scientists working at volcanic observatories concerning eruption likelihoods. The scientists were asked a range of questions using different types of phrasing. The data suggest that the phrasing of questions affects the ways in which probabilities are estimated. In total, 71% of respondents (N = 70) exhibited some form of inconsistency in their answers between and/or within different question formats. The data also allow for an analysis of the use of scaling in probabilistic assessment, and the use of quantitative versus verbal risk measurements. However, some respondents were uncomfortable with providing any numerical probability estimate, perhaps suggesting that they considered the uncertainty too high for meaningful judgements to be made.     

The Effectiveness of Regulation Fair Disclosure: Evidence from an Emerging Market

The effect of corporate disclosure in emerging markets is not clearly predictable because of the prevalent information leakage prior to disclosure. We empirically examine the effectiveness of Regulation Fair Disclosure (Reg FD) in reducing information asymmetry among equity traders in an emerging market. Specifically, we test whether fair disclosure activity is negatively related to the probability of informed trading (PIN). Multivariate tests on a sample of listed companies in Korea subject to Reg FD reveal the following: (1) more frequent disclosure under Reg FD is related to lower information asymmetry, and (2) this relation differs across the types of disclosure, with the effect of qualitative disclosures on the PIN being weaker than that of quantitative disclosures. Evidence also indicates that the negative association between fair disclosure activities and information asymmetry is more (less) pronounced for firms with poorer (better) information environments where selective information leakage is more (less) likely. The results are robust to sensitivity tests. Our findings have implications for disclosure regulations in emerging markets, given that the existing literature casts doubt on the effectiveness of corporate disclosure in such markets.     

The influence of gender on the effectiveness of probability markers in advertising

The results of two studies reveal that gender plays a moderating role on the effects that the use of probability markers (hedges – e.g., possibly, could help; and pledges – e.g., definitely, without a doubt) in advertising copy has on consumers' attitudes towards the brand advertised and purchase intentions. Women, as comprehensive processors, are not particularly sensitive to probability markers, which function as heuristic cues. Men, on the other hand, display higher levels of sensitivity towards probability marker usage; more precisely, their responses show preference towards the use of hedges over both pledges and no probability markers in advertising copy. Interactions with product category involvement, buying motivation (hedonic or utilitarian), and familiarity with the brand advertised are also explored.     

房地产开发企业违约概率压力测试研究——现金流蒙特卡洛模拟方法在银行中的应用

本文采用蒙特卡洛模拟方法,根据现金净额是否为负这一标准来判断房地产开发企业是否违约,在对企业的现金流进行随机模拟的基础上来计算企业的违约概率。压力测试的场景为房价下降,利率上升。压力传导途径为房价与利率变动导致企业销售收入变动,销售收入的改变导致企业的现金流量表发生变化。房价和利率对销售收入的冲击是随机的,企业的现金流也是随机的,本文通过随机模拟估算了企业的现金流为负的频率,以此作为企业违约的概率。压力测试表明,当房价下降幅度到达15%附近时,房地产开发商的违约概率开始急剧上升。     

Tranching and Rating

In this paper we analyse the source and magnitude of marketing gains from selling structured debt securities at yields that reflect only their credit ratings, or specifically at yields on equivalently rated corporate bonds. We distinguish between credit ratings that are based on probabilities of default and ratings that are based on expected default losses. We show that subdividing a bond issued against given collateral into subordinated tranches can yield significant profits under the hypothesised pricing system. Increasing the systematic risk or reducing the total risk of the bond collateral increases the profits further. The marketing gain is generally increasing in the number of tranches and decreasing in the rating of the lowest rated tranche.