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  1. Nicole Seaman

    P1.T2.21.4. Non-normal distributions and rank correlations

    Learning objectives: Explain how the Jarque-Bera test is used to determine whether returns are normally distributed. Describe the power law and its use for non-normal distributions. Define correlation and covariance and differentiate between correlation and dependence. Describe properties of...
  2. QuantMan2318

    Archegos Capital and Risk Management

    Hi Fellow Risk Managers and Aspiring Risk Managers The most recent event that has highlighted the importance of sound risk management at Banks is Archegos Capital. It was a classic case of Banks not focusing too much on Concentration, Collateral, Correlation and Counterparty Risk The other one...
  3. M

    T9. R63. P2: Describe the challenges associated with VaR measurement as portfolio size increases.

    @David Harper CFA FRM Hey David. I am having difficultly in understanding the formula for calculating the Covariance of Assets with the Portfolio i.e. Cov(i,p). As per your example in the study notes, you have shown the formula for COV(euro, portfolio) which is confusing. What if the...
  4. K

    Correlation(P,M) = 1 for well-diversified Portfolios - more details required

    Hi all, There is a concept that I am not able to grasp properly, in Topic1.Ch5.VidLecture#2 it was stated that: in a well diversified portfolio the Correlation between Portfolio and the Market is +1 which means that the movement of the Market and the Portfolio are synonymous Can somebody...
  5. Nicole Seaman

    P1.T2.20.13. Coskewness and cokurtosis

    Learning objectives: Use sample data to estimate quantiles, including the median. Estimate the mean of two variables and apply the CLT. Estimate the covariance and correlation between two random variables. Explain how coskewness and cokurtosis are related to skewness and kurtosis. Questions...
  6. Nicole Seaman

    P1.T2.20.9. Linear transformation of covariance and correlation

    Learning objectives: Define covariance and explain what it measures. Explain the relationship between the covariance and correlation of two random variables and how these are related to the independence of the two variables. Explain the effects of applying linear transformations on the...
  7. Nicole Seaman

    CFA Level 1 CFA: Correlation, covariance and probability topics

    Session 2, Reading 9 (Part 2): This video reviews portfolio variance and covariance, where covariance is the expected cross-product. We look at correlation, which is given by the covariance divided by the product of standard deviations, and therefore standardizes the covariance into a unitless...
  8. Nicole Seaman

    P2.T6.911. Impact of netting on exposure (Gregory, Ch.7)

    Learning objectives: Explain how payment frequencies and exercise dates affect the exposure profile of various securities. Explain the impact of netting on exposure, the benefit of correlation, and calculate the netting factor. Questions: 911.1. Consider the following exposure profile for a...
  9. S

    Correlation variance swap.

    hi, please explain related to Paying fixed in a variance swap on an index and receiving fixed on individual what does the following statement mean: If correlation increases, so will the variance. As a consequence, the present value for the variance swap buyer, the fixed variance swap payer...
  10. Nicole Seaman

    YouTube T2-8 Covariance: population vs. sample, and relationship to correlation

    Covariance is a measure of linear co-movement between variables. Independence implies zero covariance, but the converse is not necessarily true (because variables can be dependent in a non-linear way). Here is David's XLS: http://trtl.bz/2B9nqdO
  11. Nicole Seaman

    YouTube T2-4 What is statistical independence?

    Variables are independent if and only if (iff) their JOINT probability is equal to the product of their unconditional (aka, marginal) probabilities; i.e., if and only if Prob(X,Y) = Prob(X)*Prob(Y). Further, if variables are independent then their covariance (and correlation) is equal to zero...
  12. V

    R13-P1-T2- Miller Page 35 Question- Calculating Covariance & Correlation

    Can someone explain how mean & variance have been calculated in this example?
  13. E

    Correlation - Number of pairings

    Hi @David Harper CFA FRM, I had to think about it myself for some minutes: just wanted to share this with the community here. Let's say we have 18 assets. How many correlation pairs would we have? We could go the long road writing: Asset (A,B) Asset (A,C) Asset (A,D) ... ... Asset (B,C) etc...
  14. Nicole Seaman

    P1.T2.711. Covariance and correlation (Miller, Ch.3)

    Learning objectives: Calculate and interpret the covariance and correlation between two random variables. Calculate the mean and variance of sums of variables. Questions: 711.1. The following probability matrix displays joint probabilities for an inflation outcome, I = {2, 3, or 4}, and an...
  15. K

    Buying Correlation

    Hi David, In our notes (Correlation Risk Modeling and Management), we are told that another way of buying correlation is to buy call options on an index and sell call options on individual stocks of the index. I haven't quite understood this concept - i.e why it should result in a positive...
  16. David Harper CFA FRM

    Course Correlation Risk Modeling and Management by Gunter Meissner

    We are big fans here at BT of Gunter Meissner who is a perennial FRM author. Before his latest book was added to the syllabus (Correlation Risk Modeling and Management), his previous book Credit Derivatives: Application, Pricing, and Risk Management was assigned for several years and it's a...
  17. Nicole Seaman

    P1.T2.705. Correlation (Hull)

    Learning objective: Define correlation and covariance and differentiate between correlation and dependence. Questions: 705.1. In order to evaluate the the potential of a linear relationship between portfolio returns and a benchmark index, your colleague Richard conducted a univariate...
  18. F

    Impact of intra-tranche default correlation on different CDO tranches

    Hello. I wonder if my understanding is correct with regards to the impact of intra-tranche default correlation on value of different CDO tranches. 1. Equity tranche: when correlation increases, the value of the tranche increases because now there is higher chance of the underlying assets...
  19. M

    Optimal Hedge Ratio Correlation Understanding

    Hi, I have a doubt about the meaning of the hedge ratio. Hedge ratio = ρ * σ_spot / σ_fut Number of contracts = HedgeRatio * PortfolioValue / ValueFuturesContract Therefore, the lower the correlation, the lower the number of contracts. So, let's say that I have a portfolio of $ 1.000.000 of...
  20. QuantMan2318

    Financial Correlation Modelling- Bottom Up Approaches

    Dear David I have attached a spreadsheet in which I have calculated copula correlations for a Bi Variate Normal distribution and have inserted a chart on the same. I would be extremely happy if you could have a look at the same and tell me if my understanding is correct. I have used the same...