On 03-01-2013, at 17:40, Simone Gogna <singletontheb...@msn.com> wrote:
> Dear R users, > suppose we have a random walk such as: > > v_t+1 = v_t + e_t+1 > > where e_t is a normal IID noise pocess with mean = m and standard deviation = > sd and v_t is the fundamental value of a stock. > > Now suppose I want a trading strategy to be: > > x_t+1 = c(v_t – p_t) > > where c is a costant. > I know, from the paper where this equations come from (Farmer and Joshi, The > price dynamics of common trading strategies, 2001) that the induced price > dynamics is: > > r_t+1 = –a*r_t + a*e_t + theta_t+1 > > and > > p_t+1 = p_t +r_t+1 > > where r_t = p_t – p_t-1 , e_t = v_t – v_t-1 and a = c/lambda (lambda is > another constant). > > How can I simulate the equations I have just presented? > I have good confidence with R for statistical analysis, but not for > simulation therefore I apologize for my ignorance. > What I came up with is the following: > > ##general settings > c<-0.5 > lambda<-0.3 > a<-c/lambda > n<-500 > > ## Eq.12 (the v_t random walk) > V_init_cond<-0 > Et<-ts(rnorm(n+100,mean=0,sd=1)) > Vt<-Et*0 > Vt[1]<-V_init_cond+Et[1] > for(i in 2:(n+100)) { > Vt[i]<-Vt[i-1]+Et[i] > } > Vt<-ts(Vt[(length(Vt)-n+1):length(Vt)]) > plot(Vt) > > ## Eq.13 (the strategy) > Xt_init_cond<-0 > Xt<-Xt_init_cond*0 > Xt[2]<-c(Vt[1]-Pt[1]) > for(i in 2:(n)){ > Xt[i]<-c(Vt[i-1]-Pt[i-1]) > } > Xt<-ts(Xt[(length(Xt)-n+1):length(Xt)]) > plot(Xt) > > ## Eq. 14 (pice dynamics) > P_init_cond<-0 > Pt<-Rt*0 > Pt[1]<-P_init_cond+Rt[1] > for(i in 2:(n+100)) { > Pt[i]<-Pt[i-1]+Rt[i] > } > Pt<-ts(Pt[(length(Pt)-n+1):length(Pt)]) > plot(Pt) > Rt_init_cond<-0 > Rt<-Rt_init_cond*0 > Rt[2]<- -a*Rt[1]+a*Et[1]+e[2] > for(i in 2:(n)){ > Rt[i]<- -a*Rt[i-1]+a*Et[i-1]+e[i] > } > Rt<-ts(Rt[(length(Rt)-n+1):length(Rt)]) > plot(Rt) > > I don’t think the code above is correct, and I don’t even know if this is the > approach I have to take. > Any suggestion is warmly appreciated. You should also have a look at package simecol which can also do discrete time models. It would certainly require some study of the manual and a bit of work on your part but I think it would be worth it. Berend ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.