证券收益率

其次，介绍了各种用于计算CMO证券收益率的提前还款假设的种类，如，FHA经验法、CPR、PSA基准。

Then , various prepayment assumptions to compute CMOs yield , for example , " FHA experience ", CPR and PSA model are presented .

然而80年代初，国外很多学者在对证券收益率的实证研究中却发现了一系列CAPM无法解释的异常现象。

However , early 80s , many foreign scholars in the rate of return on securities empirical studies have found a series abnormal phenomenas which CAPM can not explain .

为了在实际中定量测度风险，1952年，Markowitz基于风险为收益率的不确定性或易变性的概念，提出以证券收益率的方差作为风险计量指标，开创了定量化计量风险的先河。

In order to measure risk practically , in 1952 Markowitz put forward using the variance of return rate as risk measure index based on the definition of risk which is the uncertainty or fluctuation .

对于证券收益率服从任意分布的情形，运用遗传算法的思想设计出了该模型的有效求解算法，并通过Mat-lab语言实现，从而得出投资组合选择。

When the return rate of the asset obeys an arbitrary distribution , we obtain the model solution by using genetic algorithm with Matlab language .

展望理论的权重函数与证券收益率分布

The Weighting Function of Prospect Theory and Stock Returns Distributions

逐日证券收益率序列的计算方法

A Method of Calculating the Sequence of the Security Investment Return Ratios

买盘剧增令抵押担保证券收益率全线走低。

A surge of buying sent yields on mortgage-backed securities lower across the board .

将证券收益率看成一个随机过程，满足马尔可夫条件。

Take the return of investment as a stochastic process meet the conditions for Markov .

投资组合理论是以证券收益率历史数据为基础来度量它们的期望收益和风险的。

The estimation of expected return and risk for every security in a portfolio is based on observed market data .

证券收益率序列不是独立的，而是长期相关的，有一个时间为304天的长期记忆。

The securities return ratio series is not independent but long-run correlations , and it has a long-run memory of 304 days .

证券收益率（或证券价格）的预测是金融理论和投资实践中的一个重要问题。

The forecasting of the securities ' return or prices is an important issue for finance theory research as well as real investment .

在证券收益率服从正态分布的条件下，给出了概率准则证券组合投资模型的确定性等价类模型。

The deterministic equivalent model of the stochastic programming is given under the condition that the return rate of the securities has normal distribution .

然而，近来不断增长的迹象暗示，被这个模型所暗指的典型的高持续性不再能刻画汇率或证券收益率的行为了。

Recently , however , growing evidence has suggested that the typically observed high persistence implied by this model does not characterize the behavior of stock returns .

根据各种证券收益率的统计数据，提出了基于模糊多目标规划的一种新的证券投资决策模型。

Based on statistical data about profit rates of various securities , this paper provides a new model for the decisions of securities investment with the help of fuzzy multiple objective programming .

国内外大量实证研究表明，风险证券收益率的分布具有厚尾特征。在这种情况下，风险证券价格的暴涨暴跌等极端事件发生的概率将比在正态分布条件下发生的概率大得多。

Many empirical researches have indicated that distributions of return of risky securities are heavy-tailed on condition of which the probability of extreme cases is much bigger than on condition of normal distribution .

它对风险性资产的定价建立在证券收益率仅和单一共性因素&市场证券组合的收益率线性相关的直观理解上。

According to APT , the pricing of risky assets is based on visual understanding that security return is only in linear relation to returns on market security portfolio which is single general character .

传统的金融经济学认为证券收益率服从正态分布或对数正态分布，而大量的实证表明收益率分布与正态分布相比有尖峰厚尾特征，具有分形结构。

Traditional financial economics always thinks that the securities return rate obeys normal distribution . However , lots of empirical research indicates that it has a fat tail compared with normal distribution and obeys fractal distribution .

同时，如果考虑证券收益率的均值，则可以运用行为均值半标准差综合收益率方法，探索出一种新的封闭式基金投资价值的分析方法。

If considering the mean value of securities returns ratio at the same time , and by using the method of behavior mean half standard deviation comprehensive returns ratio , we can get one kind of new method of analyzing close-ended fund investment value .

将证券收益率的取值范围划分为若干个状态空间，综合考虑证券收益率在每个时段内的波动情况，借助于马尔可夫链将证券的收益率通过模糊集来表示。

The range of securities return rate is divided into several state spaces , comprehensive consideration to the fluctuations of stock rate of return in each period , with the help of Markov chain the rate of securities return be represented by fuzzy set .

Markowitz以证券投资收益率的方差作为组合投资风险的度量，开辟了金融定量分析的时代。

, and the research of risk measurement is the hotspot in finance invest research at all times . Markowitz mean-variance model inaugurate a new period for quantify of portfolio investment risk .

今年，在投资者的追捧下，cmbs价格上涨，结果此类证券的收益率创下历史最低水平，与基准美国国债的息差收窄。

Investors have chased up CMBS prices this year , resulting in record low yields on the securities and tighter spreads over benchmark US Treasuries .

在此基础上对证券市场收益率的基本统计特征进行相关检验；然后利用修正ICSS算法对收益率序列进行变点检测，并寻找变点附近对应的重大事件。

On this basis , this paper does some relevant tests of the basic statistical characters of securities market return . Then it uses modified ICSS algorithm to detect change points . And it looks for the events near by the change points .

上海证券市场收益率的正态性检验

The normal test of the return ratio in Shanghai stock market

上海证券市场收益率分布的对称性研究

Symmetry of yield distribution of Shanghai Stock Market

但是市场的有效性不同，对证券的收益率和风险进行评估的方法和意义就有所不同。

But the method and meaning of the valuation differs with the market efficiency dissimilarity .

接着，本文对证券的收益率与风险的度量方法进行了深入研究。

Second , this paper studies the measure ways of return and risk about securities .

通货膨胀对固定收益证券到期收益率和信用利差的影响：基于中国的实证研究

The Influence of Inflation on the Yield to Maturity and Credit Spread of Fixed-income Securities

风险随投资量变化的证券组合收益率最优化模型

The Model of Maximizing the Rate of Return on a Portfolio Under Risk Changing with the investment

在证券预期收益率为区间数数据下，阐述了相对左偏度在相应风险损失率度量中的应用。

It can be applied in the measure of risk rate when expected profit rate of stock investment is interval number datum .

证券市场收益率长期记忆性的存在意味着利用更多的历史信息可以显著提高其预测的效果。

The long memory of the security market return means that the predicting ability can be enhanced by adopting more history information .