how to calculate stock price in globus simulation

As such, we attained a satisfactory credit rating of A by that year and an image rating of 78. Our credit rating attained significant growth attributed to the fact that steady payments were remitted up to the eighth year. Moreover, multi-featured cameras we produced would offer a competitive edge for our products and hence promote our company's brand. Deductively, the uniqueness of our pricing and quality facilitated maximization of our returns since our prices were relatively cheap, hence affordable.

In addition, the strategy purposed at developing a 4 star camera to be utilized by stylish customers. As such, our financial strategy focused on creating a one star level camera to be dispensed to our consumers at lower prices. Undeniably, marketing strategies for different enterprises are streamlined to develop competing strategies comprising of promotions, pricing and advertising. The code I've shared here can be tested to confirm that negative prices do not exist in the simulation.Individual report on simulation exercise- Glo-bus The other examples, will return negative prices with negative expected returns. If tested with a negative log expected return, the price should not fall below zero.

# Notice, with many samples this nearly matches our initial log E and stdev(r) Plot(P, type = 'b', xlab = 'Forward End of Month Prices', ylab = 'Expected Price from Log E', ylim = c(0,max(P))) I see you already have an answer and ColonelBeauvel might have more domain knowledge than I (assuming this is business or finance homework.) I approached it a bit differently and am going to post a commented transcript. One of the classical model (which does not mean this model is realistic) assumes the observed log return are following a normal distribution. Here is the result for the first 1000 values of P, representing 4 years: plot(1:1000, P) Be carefull to check that prod(rate) will not return Inf. Your configuration for the return price you mention ( mean=0.01 and sd=0.05) will however lead to exploding stock price (unrealistic model and parameters). 005)Īssuming the model you mentioned, you can get the serie of the prices P (containing 100001 elements, I will take P=100 - change it with your own value if needed): factor = 1 + r With these hypothesis, you can get a series of daily return in R with: r = rnorm(100000. huge!) and t moves along a day range of 252 days per year.

I furthermore make the assumption that the mean is set for an annual basis ( 1% rate of return from one day to another is just. You are getting it wrong: from what you wrote, the mean and the sd applies on the return and not on the price.

How to calculate stock price in globus simulation