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Analysis And Optimization Of Structured Financial Products Linked To SSE 50 Index

Posted on:2022-05-05Degree:MasterType:Thesis
Country:ChinaCandidate:S ZhangFull Text:PDF
GTID:2569307109469584Subject:Financial
Abstract/Summary:PDF Full Text Request
Under the background of the rapid development of China’s economy and the increase of residents’ wealth,the investment demand of individual investors has increased significantly.However,the yield of financial products in today’s financial product market is declining year by year,which stimulates the need of investors to find better investment products and makes the financial product market develop rapidly in line with the needs of investors.The most rapidly developing financial product market is stock-linked structured financial products,among which the most representative products are structured financial products linked to the SSE 50 index.The problems in the development of stock-linked structured financial products are also reflected in the SSE 50 index-linked structured financial products.Therefore,it is urgent to analyze the existing problems of structured financial products linked to the SSE 50 index and how to optimize them.This paper aims to meet the diversified needs of investors with different preferences for financial products and to develop new ideas for the development of structured financial products.To link up with Shanghai 50 index analysis and summary is structured financial products in the product development for wealth management products in China market to find the perfect development of the template,at the same time promoting structured financial products to develop in the direction of "personal finance",to link up with Shanghai 50 index optimization of structured financial products trying to break the bottleneck in the development of existing products,We will promote the development of structured financial products in a more personalized and customized way.Starting with the research and analysis of two structured wealth management products linked to the SSE 50 Index that have been issued in the wealth management product market,the evaluation of the products is mainly from the perspective of capital allocation,the operation trend of the linked index,risks and returns.The first is to theoretically price the existing wealth management products linked to the SSE 50 Index.The product structure is simply split into fixed income and options,and the cash flow discount method is used to estimate fixed income products and the BSM model to estimate options.price.Secondly,from the perspective of income and risk,two conclusions can be drawn.One is that the design of the derivative part of the existing product structured financial products is poor,and the other is that the product has a high investment threshold and a low probability of obtaining high returns.There are two problems that cannot meet the needs of current investors.Therefore,the following two aspects are optimized.One is to optimize the option structure.Because the probability of obtaining low returns for existing products is asymmetrical with the probability of obtaining high returns,the option structure of structured wealth management products has been optimized based on the shortcomings of the product and the trend analysis of the linked target.The second is to optimize the type of product and become a series of structured wealth management products linked to the SSE 50 Index.Investors can determine the proportion of funds invested in the option portfolio.Then give a risk warning on the products involved.Finally,the risk analysis and risk management of the designed product are given,as well as the risk strategy of the fixed income part and the option part of the product.After the product optimization of the designed series of products,historical data revenue simulation and Monte Carlo simulation were carried out,and the revenue of historical data simulation was better than that of Monte Carlo simulation.
Keywords/Search Tags:SSE 50 index, Structured Wealth Management Products, Monte Carlo, VaR
PDF Full Text Request
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