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Hi Minnie, Say we have 3 C-strips over a period of 1.5 years. The first strip's present value (maturing after 6 months) when discounted today will be more than the second C-strip's PV (maturing after an year) Same will be the case between the 2nd C-strip and 3rd strip(maturing after an year...

Hi David, Please refer me to a reference book or link that discusses CAPM and factor models at intuitive or basic level. I was referring to your Earlybird #4 and being from a non finance back ground this is good for me. Sorry if i posted this in a wrong place. Thanks, Sachin.

Thanks David, Got it!

Thanks David, Perfect! You are a very good teacher I must say. I did read the first link mentioned above, its good. One more doubt I have. In the comparison of advantages and disadvantages of stripping a coupon bond how are zero coupon bonds more sensitive to interest rate than coupon...

Tuckman says "when reconstituting a bond, any C-STRIPS maturing on a particular coupon payment date may be used as that bond's coupon payment" & "P-STRIPS created from the stripping of a particular bond may be used to reconstitute only that bond." I failed to understand this difference...

Hi David, Thanks that helped! Thankyou very much! Good observation David,'nichas' is the reflection about the central letters 'ch' and hence is nichas and not nihcas since those transformations are already applied by people I wanted a different logic. Thanks again. Sachin.

Hi David, Thanks for the quick reply, Agree with your reply but I am a bit confused with discrete and continuous Random variables(RV). Is probability function f(x) (curve) being continuous leads to a continuous RV and discrete(means discontinuous) probability function leads to discrete RV...

Hi David, If I am not wrong then in the above reply you are talking about Continuity w.r.t F(x) the distribution function. But what the author claims is that the Random variable for this F(x) function is neither continuous nor discrete. I want to understand this claim about the Random variable...

In the readings for Statistics from Schaum: F(x) is a cumulative distribution function defined as F(x) = 0 if x < 1 = x/2 if 1<= x < 2 = 1 if x>=2. It is said that the Random variable for the above distribution function F(x) is neither discrete nor continuous. Can anybody explain...