Hi,
Girsanov's theorem states that when moving from the risk-neutral world to the real world and vice versa the volatility of the asset remains the same.
thanks
Hi,
here find first find the monthly payment with old mortgage as: MP1 = (250,000*(5%/12))/(1-1/(1+5%/12)^360)= 1342.054
the monthly payment with new mortgage as: MP2 = (250,000*(4%/12))/(1-1/(1+4%/12)^360)=1193.5382
Thus the monthly savings = MP1-MP2 = 1342.054-1193.5382=$ 148.5158.
thanks
Hi,
PD is a Bernoulli random variable therefore if 1 is the default state and 0 is the no default sate then E(PD)=PD.1+(1-PD).0=PD and
the variance(PD) = PD.(PD-1)^2+(1-PD).(PD-0)^2
variance(PD) = PD(1-PD)^2+PD^2.(1-PD) = PD.(1-PD)(1-PD+PD)=PD(1-PD).
We know that the variance of PD=sigma...
hi,
we test for significance of correlation to test whether the linear relationship between the dependent and independent variable is strong enough to use the model for the projection.
significance of the slope in a simple linear regression is used to check whether the slope coefficients are...
Hi,
Please see these if of any help:
http://www.pwc.com.tr/en/assets/about/svcs/abas/frm/operationalrisk/articles/pwc_enterprisewiderisk.pdf
http://www.ferma.eu/app/uploads/2011/10/a-structured-approach-to-erm.pdf
thanks
Hi,
Just to give an idea, If S is the value of the T-bonds, as the rates decline the value of S increases whereas if rates increase the value of S decreases. Since the T-bond futures value=S*exp(rT) ,r is the risk free rate and T is the time to maturity ,thus if S increases(rates decline) the...
Hi,
For e.g. if the regression equation is y=b0+b1*x1+b2*x2+b3*x3 ,
suppose initial values of regressor be x1=a,x2=b and x3=c where a,b,c are constants so that the value of dependent variable y is y= b0+b1*a+b2*b+b3*c ...(1)
Now suppose we change the regressor x1 to new value x1=a' while...
Hi,
Formula I: E(St) = (S0). e ^ (Commodity Discount Rate)
Both are correct except that for formula I the Lease Rate=0 => Commodity Discount Rate= Expected Growth Rate => E(St) = (S0). e ^ ( Expected Growth Rate) is the Formula II.
thanks
Ri=Beta*Rm+intercept
Covariance(Ri,Rm)=Beta*Covariance(Rm,Rm)=Beta*Variance of market
Covariance= Beta*Variance of market
Variance of market=volatility of market^2=11.68%^2
for weight of A=160% and weight of B=-60%
Beta=.061
Covariance= Beta*Variance of market
Covariance= .061*11.68%^2 = 0.001...
This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
By continuing to use this site, you are consenting to our use of cookies.