浅议我国证券市场发展

改革开放以来,我国证券市场迅速发展,目前已初具规模,成为我国社会主义市场经济体系的重要组成部分。在新世纪之初,我国证券市场既面临挑战,又面临机遇,具备了进一步发展的良好条件。因此,我们要抓住机遇,从扩大股票和债券发行规模、丰富证券交易品种加快发展证券市场的机构投资队伍加强证券市场监管力度、努力培育运行有序的良好市场环境等方面。推动我国证券市场迈上新的台阶。证券市场是我国社会主义市场经济体系的重要组成部分。改革开放以来,我国证券市场迅速发展,初具规模,为国民经济的持续、快速、健康发展起着积极的促进作用。展望21世纪,我国证券市场面临着新的机遇和挑战。如何抓住机遇,应对挑战,把我国证券市场推上～个新的台阶,这是亟待我们认真研究和解决的现实课题。本文拟对此作一初步探讨。     

浅议我国证券市场发展

改革开放以来，我国证券市场迅速发展，目前已初具规模，成为我国社会主义市场经济体系的重要组成部分。在新世纪之初，我国证券市场既面临挑战，又面临机遇，具备了进一步发展的良好条件。因此，我们要抓住机遇，从扩大股票和债券发行规模、丰富证券交易品种加快发展证券市场的机构投资队伍加强证券市场监管力度、努力培育运行有序的良好市场环境等方面。推动我国证券市场迈上新的台阶。证券市场是我国社会主义市场经济体系的重要组成部分。改革开放以来，我国证券市场迅速发展，初具规模，为国民经济的持续、快速、健康发展起着积极的促进作用。展望21世纪，我国证券市场面临着新的机遇和挑战。如何抓住机遇，应对挑战，把我国证券市场推上～个新的台阶，这是亟待我们认真研究和解决的现实课题。本文拟对此作一初步探讨。     

吉林省金融生态研究

金融生态是仿生学概念,核心在于构建一个影响金融内外部因素的集合,通过系统研究这一集合中各个因素的发展情况,来优化这一生态系统。吉林省作为东北老工业基地之一,2020年上半年GDP总量是5441.92亿元,较去年同期增加了125.86万亿,虽然经济总量略有增长,但在全国省份中排名仍然靠后。因而研究吉林省金融生态的建设现状,发现吉林省金融生态的问题,并提出建议对优化吉林省金融生态,增强其对经济发展的促进效果有重要意义。     

证券市场中金融投资的推动效用研究

在社会和经济飞速发展的前提下,金融市场以及证券市场的发展非常显著,其所取得的成效也异常明显,其在运行中逐渐形成了完善的体制,也在不断推动着社会经济的蓬勃发展.金融投资在证券市场中处于基础的核心地位,是保障证券市场有序稳定发展的先决条件.因此对证券市场中金融投资的推动效用进行分析研究,不断探索其中潜藏的运行规律,为证券市场的高效有序发展保驾护航.     

金融生态视角下我国商业银行流动性问题研究

在金融危机影响下,我国银行业体系一方面要在国际竞争中争取利益,另一方面又要尽力摆脱危机所带来的负面效应。目前,流动性过剩的问题对于银行来说,就是巨大的考验。本文在维护良好金融生态的前提下,提出优化我国金融生态环境、加强央行对商业银行"过剩流动性"的回收力度、完善我国外汇管理体制等有效化解流动性危机对策。     

证券市场中政府行为的行为金融理论分析

众所周知,证券市场中政府行为对证券市场的作用之直接、影响之剧烈远远超过证券市场自身因素的影响.适当的政府干预有利于证券市场的稳定,对资本市场的健康发展具有积极作用,而过度的政府干预,其结果则会与政府"发展资本市场,促进国民经济的发展"的初衷相悖.本文从行为金融理论的角度就证券市场中政府行为对证券市场作用的內在机理进行分析,意在揭示政府行为对证券市场施加影响的有效途径.     

证券市场“乱象”及其思考

文章指出了证券市场运作的基本结构,并据此分析了证券市场中常见的几种违规乱象,从理性人假说、制度架构、法律体系等方面探讨了形成这些乱象的原因,提出根治这些乱象需要重塑社会价值观念,开展有效的职业伦理道德教育,建立"四位一体"的有效的监管体制等,最终形成一种良好的金融市场伦理生态体系。     

浅谈金融生态和金融生态环境

近年来,随着"金融生态"这一概念的提出,在社会各界引起了强烈的反响,因而研究它的人很多,相关的文章也很多。但大多数的研究都没有对金融生态和金融生态环境的概念做出明确的界定,容易使人混淆。本文主要针对上述情况,对金融生态和金融生态环境的相关问题以及他们的相关性做了一些探讨。     

基于效率视角的金融生态研究综述

金融生态是具有中国特色的概念。学界对金融生态的研究,对提高我国金融业效率具有重要意义。本文基于效率视角从理论和实证两方面对金融生态理论研究进行了梳理,重点梳理并评析金融生态的内涵、假设前提、金融生态和金融效率的关系三个方面,并对金融生态的进一步研究作出展望。     

金融生态研究综述

在目前全球金融危机的背景下，金融生态成为关注的焦点之一，而西南地区的金融发展状况落后极大地限制了西南地区经济的发展，因此西南金融生态情况及其地方政府在构建金融生态中的作为逐渐引起专家学者的关注，本文就通过查阅资料对目前研究西南中心城市金融生态有关问题作一简单的梳理。     

Frontier stock market integration and the global financial crisis

This paper examines the stock market integration between frontier and leading markets, focusing on the periods of pre and post global financial crisis. Using time-series analysis, the results mostly support leading markets can Granger-cause frontier markets. Frontier markets in different regions have distinct relationships with leading markets. Population growth, industry value, interest rate, tax rate, and tariff of the frontier markets significantly influence the integration between both markets. Energy, gross national income, stock traded value, and high-technology exports of leading markets saliently influence the integration. Finally, the global financial crisis impacts the relationship between the frontier and leading markets and changes the determinants of stock market integration.     

Long memory in the Ukrainian stock market and financial crises

This paper examines persistence in the Ukrainian stock market during the recent financial crisis. Using two different long memory approaches (R/S analysis and fractional integration) we show that this market is inefficient and the degree of persistence is not the same at different stages of the financial crisis. Therefore trading strategies might have to be modified. We also show that data smoothing is not advisable in the context of R/S analysis.     

通货膨胀对我国股市影响的实证分析

本文采用协整分析方法来分析通货膨胀对我国股市的影响，并建立模型进一步分析通货膨胀对我国股市的交易活动和流动性的长期和短期影响。     

Macroeconomic influences on the stock market

The paper studies the dynamic interactions among indicators of economic activity, such as industrial production, interest rate and exchange rate, the performance of the foreign stock market, oil prices, and stock returns to examine whether economic activity movements affect the performance of the stock market for Greece. The empirical evidence suggests that stock returns do not lead changes in real economic activity while the macroeconomic activity and foreign stock market changes explain only partially stock market movements. Oil price changes explain stock price movements and have a negative impact on macroeconomic activity.     

The impact of China's stock market reforms on its international stock market linkages

This paper investigates how China's stock market reforms have affected the stock market linkages between China and Korea, Japan and the US respectively. We firstly use a 4 × 4 asymmetric GARCH-BEKK model and a series of likelihood ratio tests to uncover China's regional and global linkages between 1992 and 2010 and during three sub-periods representing the stages of the Chinese reforms. The results show that Chinese stock market is linked to these overseas markets and the reforms permit spillovers to these markets from China. The subsequent regression analyses of the time-varying conditional correlations, in the presence of growing economic integration, exchange rate risk and financial turbulence, further indicate that the interdependences between China and the regional markets increase due to the implementation of liberalisation policies. However, the correlation between China and the global market remains weak even though this correlation responds positively to the institutional reforms on China's stock market additionally.     

Dynamic relations between oil and stock market returns: A multi-country study

We study the relation between the BRENT and seventeen stock market indexes of important oil-dependent economies. We focus on connectedness between these markets and characterize the dynamics of transmission and reception. We use LASSO methods to shrink, select, and estimate the high dimensional network linking these markets between August, 1999 and March, 2018. This methodological innovation allows the inclusion of a significantly larger number of markets in the network, providing finer results regarding connectedness in the oil-stock market nexus. We show that transmission runs mainly from stock markets to the BRENT. Connectedness varies considerably over time, reaching peaks during times of financial distress. Dynamic predictive causality tests show evidence of time-varying bidirectional causality. Causality from stock markets to the BRENT is detected mostly for the last part of the sample period. This finding indicates that the impact of stock market developments on oil markets is growing over time.     

基于数据挖掘技术的股票市场预测分析实例研究

本文主要研究数据挖掘技术在股票市场价格预测中的应用,重点采用数据挖掘分类和聚类算法对大盘走势和个股走势进行分析研究,采用实体数据进行挖掘分析,总结得出有益于投资者的结论。     

The differing impacts of operational and financial slack on occupational safety in varying market conditions

Operations management scholars have long debated the right level of slack resources required to optimize a production system. Recent research suggests that the right level of operational slack, typically in the form of inventory, is very little but not none. However, this conclusion was reached without considering the role of slack resources in occupational safety, which is a critical oversight since the safety literature predicts that the reduction of operational slack harms workers. To address this gap, secondary data from 3945 publically listed U.S. firms is used to explore the role of operational and financial slack as well as market factors in occupational safety. The results show that decreasing operational slack harms workers and that this effect is mitigated when firms hold higher levels of financial slack. Furthermore, the external market environment also plays a crucial role in the operational slack – safety relationship.     

Statistics of extreme events in risk management: The impact of the subprime and global financial crisis on the German stock market

Given the growing need for managing financial risk and the recent global crisis, risk prediction is a crucial issue in banking and finance. In this paper, we show how recent advances in the statistical analysis of extreme events can provide solid methodological fundamentals for modeling extreme events. Our approach uses self-exciting marked point processes for estimating the tail of loss distributions. The main result is that the time between extreme events plays an important role in the statistical analysis of these events and could therefore be useful to forecast the size and intensity of future extreme events in financial markets. We illustrate this point by measuring the impact of the subprime and global financial crisis on the German stock market in extenso, and briefly as a benchmark in the US stock market. With the help of our fitted models, we backtest the Value at Risk at various quantiles to assess the likeliness of different extreme movements on the DAX, S&P 500 and Nasdaq stock market indices during the crisis. The results show that the proposed models provide accurate risk measures according to the Basel Committee and make better use of the available information.