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The NCAV strategy produced a return of 33.7% compared to 12.1% for the benchmark. [5] A 2014 study found that the NCAV strategy produced an annualized geometric return of 24.7% from 2003 to 2010; the excess returns were unexplainable by either the capital asset pricing model or the Fama-French-Carhart model. [6]
Financial risk modeling is the use of formal mathematical and econometric techniques to measure, monitor and control the market risk, credit risk, and operational risk on a firm's balance sheet, on a bank's accounting ledger of tradeable financial assets, or of a fund manager's portfolio value; see Financial risk management.
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Another approach to model risk is the worst-case, or minmax approach, advocated in decision theory by Gilboa and Schmeidler. [22] In this approach one considers a range of models and minimizes the loss encountered in the worst-case scenario. This approach to model risk has been developed by Cont (2006). [23]
where the sum is over industry factors. Here m(t) is the market return. Explicitly identifying the market factor then permitted Torre to estimate the variance of this factor using a leveraged GARCH(1,1) model due to Robert Engle and Tim Bollerslev s^2(t)=w+a s^2(t-1)+ b1 fp(m(t-1))^2 + b2 fm(m(t-1))^2 Here
The Gordon–Loeb model is an economic model that analyzes the optimal level of investment in information security. The benefits of investing in cybersecurity stem from reducing the costs associated with cyber breaches. The Gordon-Loeb model provides a framework for determining how much to invest in cybersecurity, using a cost-benefit approach.