Search results
Results From The WOW.Com Content Network
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
A sample path of compound Poisson risk process. The theoretical foundation of ruin theory, known as the Cramér–Lundberg model (or classical compound-Poisson risk model, classical risk process [2] or Poisson risk process) was introduced in 1903 by the Swedish actuary Filip Lundberg. [3] Lundberg's work was republished in the 1930s by Harald ...
In financial economics, the dividend discount model (DDM) is a method of valuing the price of a company's capital stock or business value based on the assertion that intrinsic value is determined by the sum of future cash flows from dividend payments to shareholders, discounted back to their present value.
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.
In a special case when a company's return on equity is equal to its risk adjusted discount rate, SPM is equivalent to the Gordon growth model (GGM). However, because GGM only considers the present value of dividend payments, GGM cannot be used to value a business which does not pay dividends.
This page was last edited on 22 September 2024, at 15:10 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
The Benjamin Graham formula is a formula for the valuation of growth stocks. It was proposed by investor and professor of Columbia University , Benjamin Graham - often referred to as the "father of value investing".
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]