预览加载中,请您耐心等待几秒...
1/3
2/3
3/3

在线预览结束,喜欢就下载吧,查找使用更方便

如果您无法下载资料,请参考说明:

1、部分资料下载需要金币,请确保您的账户上有足够的金币

2、已购买过的文档,再次下载不重复扣费

3、资料包下载后请先用软件解压,在使用对应软件打开

我国股指期货与股票市场风险互动的实证分析 Title:AnEmpiricalAnalysisoftheInteractionBetweenStockIndexFuturesandStockMarketRisksinChina Introduction: TheChinesestockmarkethaswitnessedasignificantgrowthinrecentyears,attractingbothdomesticandinternationalinvestors.Amongthevariousfinancialinstrumentsavailable,stockindexfutureshaveemergedasanimportanttoolfortradingandhedgingpurposes.ThisstudyaimstoconductanempiricalanalysisoftheinteractionbetweenstockindexfuturesandstockmarketrisksinChina. 1.BackgroundandLiteratureReview: 1.1Background: Stockindexfuturesarederivativescontractsthatallowinvestorstospeculateonthefuturevalueofaspecificstockindex.Theyprovideamechanismtomitigateriskexposureandpotentiallyenhancereturns.InChina,theintroductionofstockindexfuturesin2010aimedtodeepenthecapitalmarketandimproveriskmanagement. 1.2LiteratureReview: Severalstudieshaveexaminedtherelationshipbetweenstockindexfuturesandstockmarketrisksinothercountries.Forinstance,Li(2016)foundthatstockindexfuturestradingcanstabilizethestockmarket,reducevolatility,andenhancemarketliquidity.ChenandLu(2015)revealedthatstockindexfuturestradingimprovestheinformationtransmissionefficiencyandenhancesmarketefficiency. 2.Methodology: 2.1DataCollection: ThisstudyutilizesdailydatafromtheChinaFinancialFuturesExchanges(CFFEX)andtheShanghaiStockExchange(SSE)fortheperiodfrom2010to2020.Thedataincludesstockindexfuturesprices,stockmarketindexreturns,tradingvolumes,andotherrelevantvariables. 2.2DataAnalysis: Theempiricalanalysisconsistsofvariousstatisticaltechniques,includingregressionanalysis,correlationanalysis,andvolatilityanalysis.Theaimistoexaminetheinterrelationshipsbetweenstockindexfuturestradingactivity,stockmarketreturns,andvolatility. 3.ResultsandFindings: 3.1CorrelationAnalysis: Thecorrelationanalysisrevealsthedegreeofassociationbetweenstockindexfuturestradingactivityandstockmarketreturns.Positivecorrelationssuggestaparallelmovement,whereasnegativecorrelationsindicateaninverserelationship.Theresultsdemonstrateastrongpositivecorrelation