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    Duration and Convexity (Hull's EOC 4.22 and 4.33)

    Thanks so much @QuantMan2318 - I see now the point I had missed .. In this case though, since the Yield change was +ve, the Convexity Factor acted in the opposite direction to the Duration Factor and so Lower Price Decline meant Higher Convexity. But just to solidify my understanding, if the...
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    Duration and Convexity (Hull's EOC 4.22 and 4.33)

    On Practice Question Hull 4.33:- @David Harper CFA FRM If Price % Decline of Portfolio A is less that is Risk/Exposure of Portfolio A is less, then shouldn't Convexity of Portfolio A be less than of that Portfolio B ..? :(:(:confused: Thanks for all the help on this topic..
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    Duration and Convexity (Hull's EOC 4.22 and 4.33)

    On Practice Question Hull 4.22 : @David Harper CFA FRM While Calculating the Bond Price Change Due to a .2% decrease in Yield, why are we not also factoring in the Convexity Adjustment..?:confused::(:(
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    P1.T2.Diebold, Ch8: MA(q) Process-Conditional Mean

    @QuantMan2318 Thanks so much - I had messed up the expanded formula a bit and was getting to the same formula for the MA(1) ..but this helped me see where I went wrong !! Thanks so much !! :):)
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    P1.T2.Diebold, Ch8: MA(q) Process-Conditional Mean

    In Reference to P1.T2.Diebold, Ch8: MA(q) Process-Conditional Mean :- The Conditional Mean for MA(1) is : ( Theta). E t-1 What is the Conditional Mean for MA(q) ..? Thanks much :)
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    R16.P1.T2.HULL_CH11:Topic:BIVARIATE_NORMAL_DISTRIBUTION_Eg

    @David Harper CFA FRM A follow Up question on this Topic for Clarification... Slide # 1: Slide #1, says Z1 & Z2 are the Independent Standard Normal Samples and we generate Correlated Samples e1 & e2 from the Independent samples Z1 & Z2 using the formula e2= rho* Z1 + Z2* SQRT(1-who^2) which is...
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    R10.P1.T1.BODIE_CH10_Portfoloio_Arbitrage_SML

    Got It ! @David Harper CFA FRM Thanks so much !!
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    R10.P1.T1.BODIE_CH10_Portfoloio_Arbitrage_SML

    @David Harper CFA FRM Thanks so much- am good with the Arbitrage Portfolio being .5...still a bit foggy though on why we chose the Weight of the Risky Portfolio to be 50% and not some other weight...60%, 70% ...etc...
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    R10.P1.T1.BODIE_CH10_SINGLE_FACTOR_MODEL_vs_CAPM

    @David Harper CFA FRM Perfectoo!!! Thank you so much !!
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    R10.P1.T1.BODIE_CH10_Portfoloio_Arbitrage_SML

    @David Harper CFA FRM Thanks so much for the clarification on this - very clear now :):):oops::rolleyes::rolleyes:.....One lingering question on this....did we choose the 50 %-50% weightage of the Security A & the Risk Free Asset for some specific reason..?
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    R10.P1.T1.BODIE_CH10_Portfoloio_Arbitrage_SML

    Need some help understanding the breakdown of the Arbitrage Portfolio....:(:(:( How is the Beta of the Portfolio .5 , the Return 7% and the Excess Rate 3%...? :(:(:(:confused::confused::confused::confused::confused::confused:
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    R10.P1.T1.BODIE_CH10_SINGLE_FACTOR_MODEL_vs_CAPM

    In reference to R10.P1.T1.BODIE_CH10_SINGLE_FACTOR_MODEL_vs_CAPM :- The CAPM Pricing Model is often referred to as the Single Factor Model. But the Single Factor Model is :- Ri = E(Ri) + Beta*F(Macro-Factor) + Non-Systemic-Firm-Specific-Risk Whereas, For the CAPM:- Ri = Rf (Risk-Free-Rate) +...
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    R10.P1.T1.BODIE_CH10_DIVERSIFICATION_of_RESIDUAL_RISK

    @David Harper CFA FRM Thanks so so much for clearing up the above- Totally Get it now !!THANK YOU !!!!!!!!!!!!!!!! :oops::oops::oops::oops::rolleyes::rolleyes::rolleyes::rolleyes::rolleyes:
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    R10.P1.T1.BODIE_CH10_DIVERSIFICATION_of_RESIDUAL_RISK

    Hi @David Harper CFA FRM - my apologies for nudging you over this again...I was revisiting this topic..and I seem to have some hiccups over the calculation below. Issue # 1 : 40% is the Avg Volatility for the Non-Sytemic-Firm-Specific-Risk. So as per the Screenshot 2 , we should divide the 40%^2...
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    P1.T2.Diebold, Ch8: AR(p) Properties-covariant-stationary

    @Thanks so much @David Harper CFA FRM - will circle back on this topic on a better day and time :):)
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    P1.T2.Diebold, Ch8: AR(p) Properties-covariant-stationary

    Thanks so much @David Harper CFA FRM for taking the time during this hour of crunch to patiently elaborate on my question and I do see now where I misinterpreted the statements- you cleared that up now. Very Thankful for that. Hate to bother you on this but do have a follow up question to...
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    P1.T2.Diebold, Ch8: AR(p) Properties-covariant-stationary

    In Reference to R15.P1.T2.DIEBOLD_CH8_Topic: AR(p) Properties-COVARIANT-STATIONARY :- Wanted to clarify if the AR(p) Property of Covariance Stationarity should include the conditions that the Mean and the variance be Stable/Constant ..? The Inverse of the Roots of the Lag Operator is a...
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    R15.P1.T2.DIEBOLD_CH7_Topic: WOLD'S_REPRESENTATION & COVARIANT-STATIONARY

    In Reference to R15.P1.T2.DIEBOLD_CH7_Topic: WOLD'S_REPRESENTATION & COVARIANT-STATIONARY :- In Diebold Ch-7: On Pg 20 we have a statement stating the following: The " Non-Stationary Components " such as "Trends & Seasonality" should be removed from a Time Series to ultimately form a...
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    R15.P1.T2.DIEBOLD_CH7_PARTIAL_AUTO-CORRELATION

    Got it :) Thanks so much @David Harper CFA FRM :rolleyes::rolleyes::rolleyes::):):)
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    R15.P1.T2.DIEBOLD_CH7_PARTIAL_AUTO-CORRELATION

    Hi, In reference to R15.P1.T2.DIEBOLD_CH7_PARTIAL_AUTO-CORRELATION :- I am having a bit of a confusion with the verbiage circled in Red below. What I have managed to understand on this topic is that :- the PACF ( Partial Auto Correlation) allows us to identify the "Order" of the...
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