Investor Sentiment Evaluation System And Sentiment General Entropy Investment Decision Model Research

With the increasingly complex international and domestic political and economic situation, the financial market is facing great opportunities and challenges. In this environment, how to minimize the risk and get the expected return has become one of the needed problem to solve for securities investors. Rational investors usually choose the portfolio, by this way to achieve the purpose of reducing risk. So the study of the risk of the portfolio has gradually become one of the important issues in the academic world.The scholars at home and abroad continue to supplement and improve the M-V model proposed by Markowitz Harry, so, it is gradually formed a complete modern portfolio theory system. Based on the portfolio theory and entropy optimization theory, the generalized entropy optimization model is further studied. Firstly, this paper constructs a comprehensive evaluation index system of the level of investor sentiment, which can reflect the emotional state of investors through market data; Then, combining the emotional index and the generalized entropy model, the model is established innovativly. The model treat minimizing the risk level of portfolio as the objective function, and the expected income level is the main constraint condition. In the empirical part of this paper, the power, real estate, construction and other 14 industries of the 24 stocks as the research object, using the Lingo software to solve the model, and finally get the optimal proportion of the portfolio investment, which making the investors get the maximum benefits meanwhile avoid the risk. The full text altogether divides five chapters to carry on the elaboration, the concrete arrangement is as follows:The first chapter introduces the background and significance of this paper, the research methods and research content. Then, the paper summarizes the domestic and foreign scholars on the investment portfolio theory, and the innovation points of this paper are elaborated;The second chapter is the related theory, including the investment portfolio theory and the related theory of entropy optimization, and then discussing several important entropy law;The third chapter is the construction of investor sentiment index. Firstly, starting with the definition of investor sentiment, the paper expound the classification and measurement of investor sentiment index, through principal component analysis method, the investor sentiment index system is set up and evaluated;In the fourth chapter, through the analysis of Csisizer orientation, the generalized entropy investment decision model is created and solved. Through the analysis of the model, the optimal allocation ratio of assets is obtained, which can provide reference for the investors. Finally, evaluating the model and puting forward the reasonable investment suggestion;The fifth chapter is the conclusion of the paper, in view of the deficiency of the model construction, the paper puts forward the future research work and completes the writing of this thesis.