Then Monte Carlo Simulation methods applied in products investment decision under risk circumstance are studied,which include analyzing simulation object, building model,analyzing inputs and outputs.

The paper proposed a two-echelon optimal ordering model for multi-products with Conditional Value-at-Risk(CVaR) which is used popularly in the field of financial engineering.

Under the assumption that the yield series is a strictly stationary process,we present an equation satisfied by value at risk(VaR) at time t given historical data and an analytic formula for conditional value at risk(CVaR).

A optimal portfolio decision-making flow for power producer is proposed using the modern investment theory,which takes the conditional value at risk(CVaR)as the risk measurement index and aims at both maximum avail and minimum risk value.

This paper proposes a novel conditional value at risk(CVaR) method based on the quantile,and minimizes the weighted sum of the absolute deviation of each CVaR to build a mathematical model.

Taking the conditional value at risk(CVaR) as a risk measurement index and the allocated generation-rights a riskless asset,a combined bidding model,was built with CVaR constrained condition,to maximize the expected revenue rate.

In terms of a new risk index based on conditional value at risk (CVaR) as the measuring index for market risk, a purchasing model based on portfolio theory is presented, in which the object function is to minimize the portfolio loss among day-ahead market, forward contract market and options market.

Using the risk management theory in financial research field for reference, taking the conditional value at risk (CVaR) as risk measurement index, a novel Mean-CVaR optimal combined bidding model is built by considering the r.