Explain the branching structure of the binomial model
Explain the branching structure of the binomial model.
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Harrison and Stan Pliska in 1981 used the ideas of advanced probability theory and option prices but in continuous time. From that moment until the mid 1990s applied mathematicians hardly got a look in.
The branching structure of the binomial model.
Who explained the high-peak/fat-tails?
Does it make any sense to compute betas against local indexes while a company has a great part of its operations outside such local market? I have two illustrations: BBVA and Santander.
Nominal gross domestic product: If GDP of a particular year is estimated on the base of price of similar year, it is termed as nominal GDP.
Is the net income of a year money the company made that given year or is this a number whose importance is quite doubtful?
A financial consultant obtains various valuations of my company when this discounts the Free Cash Flow (FCF) as opposed to when this uses the Equity Cash Flow. Is it correct?
UCD Vet Products – a hypothetical publicly traded corporation (UCDV) — is considering investing in a new line of equine DNA analysis technology for race horse breeders. The project will yield the net cash flows listed in the table below. Assume that this p
AB Corporation has 3 million shares of common stock selling at $19 each. It also contains $25 million in bonds with coupon rate of 8%, selling at par. AB requires $10 million in new capital that it can raise by selling stock at $18, or bonds at 9% interest. The expect
Regular meeting of day-to-day commitments: The estimation of WCR also helps to ensure that there is positive WC existence. This proves helpful in meeting requirements which are regular in nature such as payments of salaries, wages, rental charges etc.
The concept of conservatism has been influential in the development of accounting theory and practice. A major effect of conservatism is that accountants tend to recognize losses but not gains. For example, when the value of an asset is impaired, it is wri
Explain lognormal random walk based on Brownian motion.
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