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The expected return (or expected gain) on a financial investment is the expected value of its return (of the profit on the investment). It is a measure of the center of the distribution of the random variable that is the return. [1] It is calculated by using the following formula: [] = = where
You can use VLOOKUP with Google Sheets similar to how the search function is used to find information in Excel. How to use VLOOKUP in Google Sheets to search for specific data and replicate it ...
is the expected inflation rate g {\displaystyle g} is the real growth rate in earnings (note that by adding real growth and inflation, this is basically identical to just adding nominal growth) Δ S {\displaystyle \Delta S} is the changes in shares outstanding (i.e. increases in shares outstanding decrease expected returns)
where r is the risk-free rate, (μ, σ) are the expected return and volatility of the stock market and dB t is the increment of the Wiener process, i.e. the stochastic term of the SDE. The utility function is of the constant relative risk aversion (CRRA) form:
In the stock market the risk premium is the expected return of a company stock, a group of company stocks, or a portfolio of all stock market company stocks, minus the risk-free rate. [6] The return from equity is the sum of the dividend yield and capital gains and the risk free rate can be a treasury bond yield. [7]
Geometric Brownian motion is used to model stock prices in the Black–Scholes model and is the most widely used model of stock price behavior. [4] Some of the arguments for using GBM to model stock prices are: The expected returns of GBM are independent of the value of the process (stock price), which agrees with what we would expect in ...
Naked Put Potential Return = (put option price) / (stock strike price - put option price) For example, for a put option sold for $2 with a strike price of $50 against stock LMN the potential return for the naked put would be: Naked Put Potential Return = 2/(50.0-2)= 4.2% The break-even point is the stock strike price minus the put option price.
The base stock model is a statistical model in inventory theory. [1] In this model inventory is refilled one unit at a time and demand is random . If there is only one replenishment, then the problem can be solved with the newsvendor model .