基于VAR的股指期貨套期保值比率研究
[Abstract]:As we all know, the stock market is a market where risks are concentrated, so investors need to have a hedge against their assets. Hedging is one of the most important methods to avoid risk. When investors carry out hedging operations, the determination of hedge ratio is the key factor affecting hedging performance. It is the focal point and hot spot of current scholar research. Therefore, this paper focuses on the determination of hedging ratio, and then tests its performance in order to provide a theoretical basis for investors' hedging decisions. This paper gives the theory of hedging ratio and defines the concepts of hedging ratio and hedging ratio. This paper systematically summarizes the general principle of determining the optimal hedging ratio, compares and analyzes the technical method of determining the optimal hedging ratio by using the comparative analysis method, and analyzes the advantages of the VAR model on this basis. This paper uses VAR model to do empirical research. After selecting the model, the paper will estimate the hedge ratio, select Shanghai and Shenzhen 300 index, small and medium-sized board index and growth enterprise board index as hedging objects, respectively. On the basis of the sample data of different hedging periods, the hedging ratio is determined, and on this basis, the performance of hedging is tested by comparative analysis method and model test method. The results show that the higher the correlation with stock index futures, the better hedging performance. After comparing the hedging performance of different markets and different periods, the paper further tests the forecasting function of the model. The test results show that the hedging performance of the out-of-sample data is better than that of the in-sample data. It is proved that the model has strong prediction function. This paper empirically demonstrates the performance of VAR model in different markets, analyzes the scope of application of VAR model, and puts forward the relevant matters needing attention in using this model to provide theoretical basis for investors' hedging decision. To improve the efficiency of China's capital market has played a positive role.
【學位授予單位】:山西財經(jīng)大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:F832.51;F224
【參考文獻】
相關期刊論文 前10條
1 蔡黎;;股指期貨套利策略及對金融市場穩(wěn)定的影響[J];當代經(jīng)理人;2006年13期
2 馬超群;劉鈺;姚錚;袁夢兮;路文金;;股指期貨最小風險套期保值比率計算方法及實證研究[J];系統(tǒng)工程;2008年09期
3 張宗成,王駿;世界鐵礦石的生產(chǎn)與貿(mào)易和我國鐵礦石供需的經(jīng)濟學分析[J];國際貿(mào)易問題;2005年09期
4 孔令偉;李桂榮;;套期保值研究述評[J];河北經(jīng)貿(mào)大學學報(綜合版);2011年01期
5 申婷婷;田耘;;我國股指期貨套期保值交易策略研究[J];經(jīng)濟師;2007年11期
6 段靚;;股指期貨最優(yōu)套期保值比率——基于IF1011股指期貨的實證研究[J];金融縱橫;2011年01期
7 鄭飛;;套期保值期限與最優(yōu)套期保值比率——基于滬深300股指期貨的實證研究[J];企業(yè)導報;2011年16期
8 梁斌;陳敏;繆柏其;吳武清;;我國股指期貨的套期保值比率研究[J];數(shù)理統(tǒng)計與管理;2009年01期
9 王春英;;股指期貨套期保值存在的障礙及解決辦法[J];特區(qū)經(jīng)濟;2006年11期
10 國茂;徐修德;;股指期貨套期保值比率的選擇[J];青島大學學報(自然科學版);2012年03期
相關博士學位論文 前2條
1 郭睿;引進股指期貨對現(xiàn)貨市場的影響研究[D];吉林大學;2005年
2 曹忠忠;股指期貨風險測算及監(jiān)管研究[D];同濟大學;2007年
相關碩士學位論文 前3條
1 尚甜甜;滬深300股指期貨套期保值比率的實證研究[D];東北財經(jīng)大學;2010年
2 侯蕾;基于滬深300指數(shù)期貨的最優(yōu)套期保值比率實證研究[D];中國地質(zhì)大學(北京);2010年
3 李嬌;滬深300股指期貨套期保值比率的實證研究[D];西南大學;2012年
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