上海股票市场波动的非对称性和杠杆效应研究

基于人们对股票市场波动"利好""利坏"消息反应程度的不同,本文利用国外证券市场比较成熟的非对称ARCH族理论,对我国上海股票市场建立了ARCH、TARCH、EGARCH模型进行实证检验分析,得出上海股票市场的波动具有非对称性和杠杆效应,坏消息会导致比好消息更大波动性的结论.     

股市行业波动的非对称性研究

中国的股票市场是实体经济重要的融资渠道之一。为了能对我国股票市场的波动非对称性有更为深入的认识,本文从行业波动性的角度入手,根据A股市场的波动情况,得出符合我国不够成熟的股票市场的波动特征,并运用杠杆效应理论、波动反馈机制和行为金融学理论对其进行解释。     

原油期权对原油市场波动非对称性影响研究

本文基于日数据采用GARCH模型族实证研究了原油期权推出对原油期货市场变量(价格、成交量、持仓量、库存)波动性及非对称杠杆效应的影响。结论如下：不考虑疫情影响下原油期权推出除了对成交量,对价格、持仓量及库存波动均产生较长时间波动性影响;考虑疫情影响下仅对价格产生长时间波动性影响。无论是否考虑疫情影响,原油期权推出后均加剧了价格收益波动性,降低了成交量、持仓量、库存波动性,考虑疫情影响下原油期货价格收益波动增强程度减弱,成交量波动减弱程度降低。不考虑疫情影响下原油期货价格、成交量、持仓量、库存波动率均存在负的非对称杠杆效应,利空消息的影响均大于利多消息的影响;考虑疫情影响下原油期权推出前后,原油期货价格收益波动均由负的非对称性转变为正的非对称性杠杆效应,原油期货成交量波动负的非对称性杠杆效应在原油期权上市后变小且减小的幅度小于不考虑疫情影响下的杠杆效应,持仓量及库存的波动在原油期权推出后负的非对称性杠杆效应均减弱。最后,针对国内期权市场建设给出相关政策建议。     

开放经济下中国股市波动杠杆效应的实证研究

非对称性是股市波动的主要特征,而杠杆效应是非对称性产生的重要机制之一。研究开放经济下中国股市波动的杠杆效应具有积极的现实意义,然而国内学者对中国股市是否存在杠杆效应尚无定论。文章试图运用TARCH模型和EGARCH模型对中国"入世"十年的股市波动进行实证研究,发现中国股市具有显著的杠杆效应。基于此实证结论,文章最后提出了相应的政策建议。     

异质信念对股价波动的非对称性影响研究

本文利用上市公司的相关数据,实证研究了异质信念对我国股票市场股价波动的 影响,探讨了在不同的市场行情和企业性质下异质信念对股价波动的非对称性影响,并对融资 融券推出前后异质信念对股价波动的非对称性影响进行了研究。研究结果表明：（1）股票投 资者异质信念的差异程度越大,股价偏离其股票的内在价值就越大,进而导致股价的波动程度 更剧烈;（2）异质信念对股价波动的影响呈非对称性,在熊市行情下异质信念对股价波动的 影响要高于牛市,在国有企业背景下异质信念对股价的波动程度大于非国有企业;（3）融资 融券推出后在一定程度上可以减缓异质信念对股价波动的影响。     

开放经济下中国股市波动杠杆效应的实证研究

非对称性是股市波动的主要特征,而杠杆效应是非对称性产生的重要机制之一。研究开放经济下中国股市波动的杠杆效应具有积极的现实意义,然而国内学者对中国股市是否存在杠杆效应尚无定论。文章试图运用TARCH模型和EGARCH模型对中国"入世"十年的股市波动进行实证研究,发现中国股市具有显著的杠杆效应。基于此实证结论,文章最后提出了相应的政策建议。     

我国深沪股票市场波动的对比分析

金融市场的波动是现代金融学研究的核心问题．而ARCH类模型已经成为国际上最常用的研究金融资产波动的模型。它的一个最大特点就是突破了传统方法中收益与风险线性关系的假定．反应了方差的时变特点。随着ARCH类模型的不断应用，它本身的形式也不断得以发展。出现了非对称的ARCH模型和成分ARCH模型。我国学者近年来也利用ARCH类模型做了许多的研究。陈泽中等（2000）使用GARCH模型指出了我国深市比沪市波动剧烈。王玉荣（2002）使用了ARCH类模型模拟了我国股市收益率波动状况．指出了中国股市波动存在聚类性和非对称性。陈浪南等（2002）也对我国股票市场波动的非对称性做了研究。李丽莎（2004）使用了三种ARCH模型再次描述了我国股票市场收益率波动状况。朱孔来（2005）运用TARCH模型进一步分析了日收益率波动的条件异方差性和非对称性。在上述的研究中．部分文献所采用的时问段过短．这对于最终结论是有一定的影响的．尤其是对于EGARCH模型的使用影响很大。同时部分文献所采用的数据没有经过平稳性的检验．因为早期的中国股市达不到弱式有效。价格指数通不过平稳性的检验。本文使用2000年深沪市的价格指数日收盘序列，都可以通过平稳性的检验．同时，本文还检验了常用的几类ARCH模型．得出了EGARCH可以较好的模拟我国股市波动状况的结论。     

我国债券市场和股票市场收益率波动溢出效应实证研究

本文通过建立ARCH族模型对债券市场和股票市场的收益率波动进行了处理,并用条件方差进行了Granger因果关系检验,用来衡量波动的溢出效应,最后我们发现以上证指数和企债指数衡量的收益率波动之间存在双向的因果关系,即存在着波动溢出效应.     

中国股票市场杠杆效应研究

引言 在证券市场上，有价证券的波动性特征是广大投资者和基金经理们最为关注的问题。因此，关于投资风险和收益的研究一直是资产定价理论研究中的一个主要方面。经过近二十多年来的大量研究，理论界对于有价证券波动的可预测性基本上达成了一致(Bollerslev et al., 1992)，而争议的焦点在于预测模型的不同选取上。……     

股指收益率异常波动、杠杆性和溢出效应——基于美中贸易冲突以来的数据

始于2018年3月份的美中贸易冲突,导致了中美两国主要股票指数巨幅震荡。本文基于GARCH 模型的研究,发现上证指数和道琼斯指数收益率均存在条件异方差效应,道指收益率对不同性质消息的反应存在非对称性,负面消息对道指的影响会溢出到上证指数,持续约4期。因此,对内全面深化改革,对外开拓新的市场,降低对美出口的依赖,是我国应对这场贸易冲突的主要对策。     

LARCH, Leverage, and Long Memory

We consider the long-memory and leverage properties of a modelfor the conditional variance of an observable stationary sequence X_t, where is the square of an inhomogeneous linear combination of X_s, s < t, withsquare summable weights b_j. This model, which we call linearautoregressive conditionally heteroskedastic (LARCH), specializes,when depends only on X_t–1, to theasymmetric ARCH model of Engle (1990, Review of Financial Studies3, 103–106), and, when depends only on finitely many X_s, to a version of the quadratic ARCH modelof Sentana (1995, Review of Economic Studies 62, 639–661),these authors having discussed leverage potential in such models.The model that we consider was suggested by Robinson (1991,Journal of Econometrics 47, 67–84), for use as a possiblylong-memory conditionally heteroskedastic alternative to i.i.d.behavior, and further studied by Giraitis, Robinson and Surgailis(2000, Annals of Applied Probability 10, 1002–1004), whoshowed that integer powers , =" BORDER="0">2 can have long-memory autocorrelations. We establish conditionsunder which the cross-autocovariance function between volatilityand levels, , decays in the manner of moving average weights of long-memory processes on suitable choiceof the b_j. We also establish the leverage property that h_t <0 for 0 < t k, where the value of k (which may be infinite)again depends on the b_j. Conditions for finiteness of thirdand higher moments of X_t are also established.     

Leverage,Consumer Finance,and Housing Prices in China

In this article, we focus on the effect of household borrowing behavior on housing prices in China, under the background of rapid growth of consumer finance during the past decade. We build a micromodel to deduce the relationship between consumers’ leverage, housing enterprises’ leverage, and housing prices and use a dynamic panel model and panel error correction model to do the empirical work. The results show that the first- and second-tier cities of China are greatly influenced by leverages, the second-tier cities also by local growth, and the third-tier cities are weakly affected by leverages but greatly affected by the land prices. Further explanations and discussions of the empirical results are given accordingly.     

合理使用金融杠杆与财政杠杆促进社会经济协调发展

由于传统计划经济体制的影,我国经济发展过程中金融代行财政职能.出现了诸多问题.财政杠杆与金融杠杆如何有效地配合使用,是今后经济发展中必须解决的问题.二者如果配合适当,就会促进社会经济的协调发展.     

股市成熟度及其影响因素研究

本文在厘清股市成熟度的内涵界定与外延构成的基础上,着重从时间、规模、结构、质量、国际化程度、市场估值六个方面展开对股市成熟度影响因素的具体分析,继而基于我国股市i的客观实际,给出成熟度状况的初步评估以及成熟度提升的若于建议.     

Fama's Ratio and the Effect of Operating Leverage on the Cost of Capital Under CAPM

The firm's operating leverage is its ratio of fixed to variable costs. It is widely understood that production settings with higher fixed costs and lower variable costs are high risk. Well-rehearsed CAPM arguments show how the firm's beta and cost of capital is higher when its proportion of fixed costs is higher. Importantly, that generalization holds under CAPM if expected total costs are constant and merely re-apportioned between fixed and variable, but does not hold if expected total costs change. In actual business contexts, higher fixed costs are intended to bring lower unit variable costs and often lower expected total costs. Allowing for such efficiency gains, the firm's risk-adjusted cost of capital might typically fall despite the higher operating leverage. Formal proof follows directly from the payoffs or ‘certainty equivalent’ expression of CAPM. The CAPM insights and new CAPM equations brought to light in this proof are surprising and useful.     

上海金属期货市场的非线性波动特征研究

期货市场是一个典型的非线性动力系统,通过对上海期货交易所(SHFE)的铜、铝期货合约进行非线性波动特征检验,采用基于GED(广义误差分布)的GARCH族模型考察期货收益率的ARCH效应、杠杆效应,并用R/S分析法检验期货收益率和波动率的长期记忆性,得到的实证结果表明:铜、铝期货价格波动有明显的集丛性,铜期货收益率波动没有"杠杆效应",而对铝期货来说,"利好"对条件方差的冲击大于"利空"的冲击.R/S分析结果显示:铜、铝期货收益率均呈现长期记忆性,铜期货有一个约43个日历月的非周期循环,而铝期货并没有明显的非周期循环.更重要的是,实证结果表明期货收益波动率有明显的长期记忆性,因此,在对期货市场波动率建模时应充分考虑这一点.     

股票价格、货币政策和宏观经济波动

本文对包含股票价格在内的新凯恩斯模型的结构方程进行估计,分析了股票价格和货币政策与宏观经济波动之间的关系,认为股票价格与宏观经济波动密切相连,货币政策调整可以平滑经济波动。在此基础上,比较了不同的货币政策规则的宏观调控效果,得到的结论是,将股票价格波动纳入货币政策的调控范围会改善货币政策效果,有助于稳定宏观经济。     

Leverage and Volatility Feedback Effects in High-Frequency Data

We examine the relationship between volatility and past andfuture returns using high-frequency aggregate equity index data.Consistent with a prolonged "leverage" effect, we find the correlationsbetween absolute high-frequency returns and current and pasthigh-frequency returns to be significantly negative for severaldays, whereas the reverse cross-correlations are generally negligible.We also find that high-frequency data may be used in more accuratelyassessing volatility asymmetries over longer daily return horizons.Furthermore, our analysis of several popular continuous-timestochastic volatility models clearly points to the importanceof allowing for multiple latent volatility factors for satisfactorilydescribing the observed volatility asymmetries.     

Target Information Asymmetry and Acquisition Price

This study investigates the effects of target information asymmetry in a takeover transaction. We find that a target with more information asymmetry receives a larger bid premium from the acquirer. We examine the response of the acquirer's investors to the bid to clarify whether the larger bid premium is an overpayment by the acquirer. We observe that the acquirer's investors respond more positively to the acquisition of an opaque target, indicating that the market recognizes the acquirer's valuation of the opaque target and agrees with the offer price. Our results indicate that corporate takeovers help to resolve asymmetric information in the capital market.