沪深股市投资风险比较

极值理论在风险管理中扮演着重要的角色,它是关于市场极端风险的建模和量化的一种主要方法,本文通过极值理论中POT模型来估计用来度量市场风险的工具VaR和ES,并以中国股市作实证分析,结果我们发现沪市的投资风险要小于深市。     

应用极值理论度量金融风险价值——用VaR测度认识J．P．morgan的巨额亏损

极值理论EVT是统计学的一个重要分支,它主要关注于极端事件的概率分布及其性质。极值理论现今广泛的应用于破产理论,保险理论、资产分配和风险度量等现在金融理论中。本文旨在通过使用极值理论基于SAS和Matlab编程计算摩根大通（CJ．P．nlor-gan）的风险价值（Value at Risk）并以此来认识摩根大通因交易员操作失误带来的巨大亏损的现象,从而在理论和实际操作上掌握风险价值度的相关知识。     

基于极值理论的金融风险研究

运用极值理论的POT模型,并结合描述金融产品收益率的尾部分布更加精确的GPD分布,计算出了基于极值理论的风险估计。与传统方法相比,极值理论方法能更好的利用已知历史数据,并能在计算高置信度VaR时克服传统方法中误差较大的缺点。     

香港离岸人民币同业拆借利率风险度量研究——基于AR-GARCH-POT方法的分析

本文将极值理论和AR-GARCH模型相结合,度量不同期限香港离岸人民币同业拆借利率的风险值,同时对比研究伦敦欧洲美元同业拆借利率市场对应期限的风险,并且以此推演香港离岸人民币同业拆借利率的未来发展趋势.研究结果表明,香港离岸人民币同业拆借市场正处于国际货币离岸市场发展的初始阶段,未来其总体风险将减少并且风险值会随着期限的延长而增加.最后,本文针对上述现象提出了发展香港离岸人民币市场的政策建议.     

POT模型在商业银行信用风险度量中的应用

由于银行信用风险的损失分布具有鲜明的厚尾性,所以应用一般的风险计算方法往往会低估银行信用风险、而应用极值理论计算风险时能更有效地捕捉可能导致银行重大损失的尾部风险。所以把极值理论应用于银行信用风险量化分析不失为一种比较理想的方法。     

基于FIGARCH-EVT模型的极端风险度量

多项实证研究表明多数金融资产的收益率序列呈现尖峰厚尾的非正态分布,波动率具有聚集性和持续性等特点,因此传统的基于正态分布的VaR和ES模型无法有效捕捉收益率序列的尾部信息,忽视了波动的时变性,从而低估金融资产存在的风险。考虑到金融资产收益序列的时变性和尖峰厚尾的特点,本文采用FIGARCH模型与极值理论中的EVT模型相结合的方法来研究我国证券市场存在的市场风险,并进行有效合理的度量。通过比较分析与返回检验发现,基于FIGARCH-EVT模型的风险度量方法要明显优于传统的纯极值理论方法和GARCH-EVT模型。     

基于异方差极值理论的基金风险度量及绩效评价

VaR是度量金融资产面临风险大小的指标,也是基金绩效评价的依据之一。本文以ETF50和ETF180基金作为研究对象,首先利用ARMA-GARCH模型捕获金融时间序列的自相关性和条件异方差性,过滤获得近似独立同分布的残差序列,再采用极值理论对残差序列进行处理,以刻画收益序列的尾部特征,从而估计ETF50和ETF180基金的动态风险VaR值,并利用该值计算基金绩效评价指标RAROC值。实证分析表明,相比于GARCH模型,结合了异方差极值理论模型的风险度量方法能更准确预测基金所面临的市场风险,而在基金绩效评价中,ETF180的RAROC值高于ETF50,因而更值得投资。     

基于极值谱风险测度的金融市场风险度量

如何准确度量金融市场风险将是金融学研究的永恒话题.既考虑金融市场的实时波动,又关注投资者的风险态度,应是科学度量风险的方法.文章基于极值理论的POT模型,采用谱风险度量方法对上证综合指数、香港恒生指数和美国道琼斯指数进行了风险度量.实证结果表明,相对于忽视投资者风险态度的和值,考虑投资者风险厌恶态度的极值谱风险能够比较准确地度量金融市场的实际风险.     

沪深300股指期货市场风险研究

我国即将推出以沪深300股票指数作为标的的股指期货，因为股指期货具有期货的杠杆效应，风险性极大，所以有必要对股指期货的市场风险进行合理的度量。目前对股指期货市场风险的研究是一个热点也是难点问题。利用近年来专家学者常用的极值理论计算沪深300指数的全尾、左尾（多头）和右尾（空头）的VaR和ES，可以有效的度量沪深300股指期货的市场风险。     

基于极值理论的人民币汇率风险测度

为了克服传统VaR计算方法在处理厚尾分布时的缺陷,本文引入极值理论中的阈值模型建模,对人民币/欧元汇率风险进行测度,然后对使用极值理论方法计算VaR的效果作了返回测试,最后对金融机构和企业的汇率风险管理工作提出了政策建议。     

Diversification potential of Asian frontier,BRIC emerging and major developed stock markets: A wavelet-based value at risk approach

This study examines the portfolio risk and the co-movements between each of the BRIC emerging and South Asian frontier stock markets and each of the major developed stock markets (U.S., UK and Japan), using the wavelet squared coherence approach as well as the wavelet-based Value at Risk (VaR) method. The results show that the co-movements and diversification benefits between these markets vary over time and across frequencies. Additionally, the co-movements are intensified in the wake of the recent global financial crisis (GFC) and the Eurozone sovereign debt crisis (ESDC). More precisely, the wavelet-based VaR ratio indicates that including a BRIC or a South Asian (particularly Pakistan and Sri Lanka at both the short- and long-term) stock market in a portfolio of the developed stock markets reduces the resulting portfolio's VaR. Specifically, adding China in the medium term to this portfolio reduces risk in the pre- and during both the GFC and ESDC periods. By assigning optimal weights to the different market assets in the portfolio formulation, the analysis thus has implications for international investors.     

Product Regulation and Stock Prices: The Case of the US Food and Drug Administration

This study focuses on the stock market effects associated with the announcements of product approvals, denials and recalls by the US Food and Drug Administration (FDA), and the impact of product approvals on research and development expenditures (R&D) and forecasts of earnings by Value Line. When the FDA announces approvals, the shareholder wealth of affected firms increases significantly. The announcements of denials and recalls by the FDA are associated with stock price declines. The stock price impact of recalls is dependent on whether the firm voluntarily withdraws a product or if the withdrawal is mandated by the FDA. Specifically, voluntary recalls are not associated with a change in stockholder wealth, while FDA mandated recalls are associated with decreases in stock price. In addition, we find that partial product recalls have a smaller impact than total recalls. An examination of the effects on competitors' stock price reveals losses when the FDA announces an approval or a recall, but no imt for a d. An analysis of changes in risk around FDA decisions suggests that, on average, betas do not change around approvals, recalls or denials. In addition, our results suggest that announcement period stock price behavior is unrelated to risk changes except for approvals where returns are positive and significant for firms with either increasing risk or no change in risk. We also find that approvals are associated with increases in R&D and forecasts of earnings for the sample firms, with returns to stockholders upon announcement of the approval being related to the increases in R&D and short-term earnings forecasts.     

基于VaR和两基金分离的投资组合模型

本文使用VaR来度量投资组合的市场风险,构造了一个在可接受期末财富约束条件下,使VaR达到最小的投资组合模型,同时,发现该模型发生了两基金分离现象,因此存在多风险资产情形下的投资组合模型可以退化成为单风险资产情形下的投资组合模型。最后,本文使用简化的单风险模型对我国上海股票市场进行了实证分析,探讨投资者如何在股票和银行借贷中进行最优资产分配。     

What explains default risk premium during the financial crisis? Evidence from Japan

As is well documented, subprime mortgage markets carried significant default risk. This paper investigates the relationship between default risk premium, stock market conditions and macroeconomic variables during the financial crisis. Using iTraxx Japan Credit Default Swap (CDS) index spreads covering the period from March 2006 to November 2009, we employ a time-varying dynamic factor model with Markov regime switching to generate regime probabilities for default risk. We analyze the sensitivity of default risk premium changes to stock market conditions and macroeconomic variables by using two-state Markov switching models: a crisis regime sparked by rising loan defaults in the sub-prime mortgage market, and a non-crisis regime. We found strong evidence that the relationship between default risk premium changes, stock market and macroeconomic variables is regime-dependent. Our results suggest that during periods of crisis, CDS indices behave as a higher-risk indicator and become more sensitive to stock market conditions and macroeconomic variables. This paper examines the effects of the financial crisis in explaining the default risk premium. Understanding the determinants of default risk premium is important for financial analysts, economic policy makers and credit risk management.     

Asymmetric extreme risk spillovers between the Chinese stock market and index futures market: An MV-CAViaR based intraday CoVaR approach

This paper proposes a predictive CoVaR measure to analyze asynchronous risk spillovers between the Chinese stock and futures market. We jointly model the intraday CoVaR dynamics using an extended MV-CAViaR model. The results show the presence of asymmetric spillovers under different market states, different trading rules, and different confidence levels. Specifically, there exist significant downside spillovers and insignificant upside spillovers. Moreover, the futures (stock) market becomes dominant in risk transmission during bearish (bullish) market periods. Furthermore, high margin requirements would weaken the spillover effects of the futures market, but it would also strengthen the spillover effects of the stock market.     

The world stock markets under geopolitical risks: Dependence structure

This paper reveals joint stochastic behaviours of the world’s stock markets and geopolitical risk by a copula approach for the 37 world’s stock markets over the period of June 1997 to December 2017. The various bivariate copulas show the different degrees of tail dependences and rank correlations. The differences between overall geopolitical risk index and action‐related geopolitical risk index lie in the higher tail dependence with overall geopolitical risk index, the dominancy of concordant movements of stock market indexes with overall geopolitical risk and that of discordant movements of stock market indexes with action‐related geopolitical risk index. The results illustrate that action‐related geopolitical risk is more often adversely related to the world’s stock market performances with less tail dependence.     

The role of financial investors in determining the commodity futures risk premium

I develop and test a model to study the interaction between the commodity and stock markets. This study attempts to clarify the debate about the effect of financialization on commodity markets. Theoretically, the futures risk premium is determined by hedging pressure, stock market returns, and the commodity–equity correlation. Empirically, the effect of the stock market on the energy market became significantly greater for the futures risk premium in the period following the 2008 crisis. Furthermore, hedging pressure is a strong explanatory variable for the futures risk premium in various circumstances.     

风口2021 浙股年度市值榜

回望2020年,新冠肺炎疫情等“黑天鹅”频发,为A股市场带来极大波动,但在疫情防控常态化、经济复苏的背景下,A股展现出顽强的韧性,三大指数集体上涨,成为全球股市中亮眼的一抹色彩。在过去的这一年里,浙股发生了哪些变化?诞生了哪些大牛股,谁是最强涨停王,谁又让人最心跳?浙股募投资金的去向,又会迎来哪些爆发性和持续性的大风口?随着2020年收官,《浙商》杂志再度推出浙股年度市值榜,以展现过去一年跌宕起伏的结构性牛市。     

Volatility Spillovers and the Risk-Return Relation Between Stock and Foreign Exchange Markets in Brazil

We examine the evidence of mean and volatility spillovers between stock and foreign exchange markets in Brazil with multivariate GARCH models and nonlinear Granger causality tests. We also use a multivariate GARCH-in-mean model to assess the relationship between risk and return in these markets. The results indicate that the stock market leads the foreign exchange market in price formation and that nonlinear Granger causalities from the exchange market to the stock market do occur. Part of these nonlinear causalities are explained by volatility spillovers. We show that exchange rate volatility affects not only stock market volatility but also stock returns.     

Influence of Social Media over the Stock Market

This research analyzes investors’ activity through social media and these media's influence over the Chicago Board Options Exchange Market Volatility Index (VIX) using a logit model and a fuzzy‐set qualitative comparative analysis (fsQCA). The logit results show that social media sentiment influences stock markets. Meanwhile, the fsQCA results show that the investors’ profile is important for explaining how social media influence the stock market. Particularly, holding period combined with experience in technical investors contributes to avoiding a raise in market risk, whereas for nontechnical investors message sentiment and experience form the combination that contributes to avoid a raise in market risk.