Explain numerical integration in numerical method
Explain numerical integration in numerical method.
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Infrequently one can write down the solution of an option-pricing problem within form of a numerous integral. It is as you can interpret the option value like an expectation of a payoff, and also an expectation of payoff is mathematically only the integral of the product of which payoff function and a probability density function. It is only possible in particular cases. The option has to be European, the underlying stochastic differential equation should be explicitly integrable (therefore the lognormal random walk is ideal for that) and the payoff shouldn’t generally be path dependent. So when this is possible then pricing is simple... you have a formula. The only complexity comes in turning this formula in a number. And which is the subject of numerical integration or quadrature.
Suppose current settlement price on a CME DM futures contract is $0.6080/DM. You contain a long position in futures contract. Presently your margin account contain a balance of $1,700. The next three days' settlement prices are $0.6066, $0.6073, & $0.598
Explain Adaptive Market Hypothesis of Andrew Lo.
Illustrates an example of delta hedging.
What is Maximum Likelihood Estimation?
Illustrates an example of forward equation?
Who had shown how to price options specified through simulations?
What about exotic or over-the-counter (OTC) contracts?
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Illustrates the family members of the GARCH?
Elucidate: Companies with rapidly growing levels of sales do not need to worry about raising funds from outside the organisation.
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