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Monte Carlo methods are used in corporate finance and mathematical finance to value and analyze (complex) instruments, portfolios and investments by simulating the various sources of uncertainty affecting their value, and then determining the distribution of their value over the range of resultant outcomes.
Portfolio optimization is the process of selecting an optimal portfolio (asset distribution), out of a set of considered portfolios, according to some objective.The objective typically maximizes factors such as expected return, and minimizes costs like financial risk, resulting in a multi-objective optimization problem.
Monte Carlo: methodologies and applications for pricing and risk management. Risk. ISBN 1-899332-91-X. Paul Glasserman (2003). Monte Carlo methods in financial engineering. Springer-Verlag. ISBN 0-387-00451-3. Peter Jaeckel (2002). Monte Carlo methods in finance. John Wiley and Sons. ISBN 0-471-49741-X. Don L. McLeish (2005).
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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.
With the financial crisis of 2007, and the introduction of Dodd–Frank Act, and Basel III, the minimum required regulatory capital requirements have become onerous.An implication of stringent regulatory capital requirements spurred debates on the validity of required economic capital in managing an organization's portfolio composition, highlighting that constraining requirements should have ...
You'll often see investment advice referring to your personal risk tolerance. This can be tricky to understand and apply because it differs from person to person, and it should also change over ...
Risk-based performance attribution decomposes the performance of a portfolio based on various risk factors or risk exposures (see factor analysis). For complex or dynamic portfolios, risk-based profit attribution may have some advantages over methods which rely only on realized performance. This may be the case for some hedge fund strategies. [23]