Risk Pricing Model Of Data Assets

In the background of big data industry,data transaction has become the trend,and the core of this business model is the pricing of data assets."Data is an asset" is a concept gradually accepted by the public.Nowadays,there is a lack of research on data asset pricing.So this paper takes the problem of data asset pricing as the main research object,and puts forward the risk pricing model of data assets.First of all,this paper uses option pricing theory to study the pricing of data assets.The option characteristics of data assets are summarized from the characteristics of data assets.Based on the basic concept of option,the concept of data option is put forward.Based on the option characteristics of data assets,the relevant variables in the classic B-S model are transformed and improved for the data assets,and the option pricing model of the data asset is established.An example is given to illustrate the calculation process of data asset pricing model.The price gotten is more objective and reasonable.Then,this paper uses the Peaks Over Threashold model(POT model)of extreme value theory to tail risk measure of data assets,using the Generalized Pareto Distribution(GPD)distribution fitting data assets loss distribution.Then,based on the threshold and the parameters of fitting distribution,the expressions of Value at Risk(VaR)and Conditional Value at Risk(CVaR)are gotten.It specifically focuses on the use of the value of CVaR to show the tail risk data assets,reflecting the thick tail of data asset loss and overcoming the deficiencies of the current estimation of the tail distribution of data assets.Based on the previous research,considering the high risk of data assets and the influence of tail risk of data assets on data asset prices,data asset prices in the data asset option pricing model are revised.It uses a tail risk premium to express the compensation for data assets price from the tail risk.Data asset pricing reflects more intuitive and effective risk information.Finally,it sets up the risk pricing model of data assets.The research results of this paper provide a solution to the problem of data asset pricing,which enriches the method of data asset pricing and risk measurement.From the theoretical perspective,this paper provides theoretical support for the actual application of data asset pricing and the risk measurement and risk management of data assets;From the perspective of management practices,this paper aims to establish a unified evaluation system for data assets and to build a safe and efficient pricing evaluation and trading mechanism for data assets;From a social and economic point of view,through effective data monetized quantitative and risks in asset price,this article lets the companies and individuals understand the value of data assets and risk intuitively.It ensures the security of companies’ and individual’s data assets and decreases the negative impact caused by the loss of data assets.As a result,it ensures the secure and stable development of the society.