value-at-risk

Question: "The distribution of the losses from a project over one year has a normal loss distribution with a mean of -10 and a standard deviation of 20. What is the one-year VaR when the confidence level is (a) 95%, (b) 99%, and (c) 99.9%?" Answer: (a) 22.9, (b) 36.5, (c) 51.8. Could someone...

Learning objectives: Describe backtesting and exceptions and explain the importance of backtesting VaR models. Explain the significant difficulties in backtesting a VaR model. Verify a model based on exceptions or failure rates. Questions: 22.7.1. Mary the FRM conducts a backtest of her firm's...

Learning objectives: Apply the bootstrap historical simulation approach to estimate coherent risk measures. Describe historical simulation using non-parametric density estimation. Questions: 22.3.1. Which of the following is an essential difference between BASIC historical simulation and...

Hello @David Harper CFA FRM , sorry to bother you again, but I did not know where to put this question about Meissner's Example 1.2 of VaR for a two-asset portfolio. (Should I create a new thread for questions like this in the future?) On the table, the 'Deviate' is written as 2.326. However...

Dear @David Harper CFA FRM I came across the following question in the Schweser notes to Market Risk book: It is stated that correct answer is D but I think it is A, could you please help me? Thanks !

Learning outcomes: Describe the three fundamental dimensions behind risk management, and their relation to VaR and tracking error. Describe risk planning, including its objectives, effects, and the participants in its development ... Describe the objectives of performance measurement tools...

Hey for school i have to calculate the VaR but I am unable to find the right calculation, can anyone help me solve it? "Suppose an investor wants to take 500 shares of Tesla in a pre-portfolio. The price is $ 800.00 per share The term of this position is 1 day. The daily volatility is: 2%...

In this video, we walk through an actual case study of Value at Risk (VaR) mapping, specifically as it is illustrated by Phillip Jorion in Chapter 11 of his book, Value at Risk. We will take a two-bond fixed income portfolio. It's going to have a value of 200 million, and we're going to look at...

When we specify something like a 95% value at risk or 95% VaR, we mean that 95% is the confidence level and, therefore, 5% is the significance level. That means we expect on 5% of days for the actual loss to be worse than the VaR or to exceed the VaR. This video is about the backtest of a VaR...

The three approaches are 1. Parametric; aka, analytical; 2. Historical simulation; and 3. Monte Carlo simulation (MCS). The parametric approach assumes a clean function, the other two work with messy data. Historical simulation is betrayed by a histogram, MCS is betrayed by a random number...

Basic historical simulation sorts the actual loss history and, for example, the 95th HS VaR is the 6th worst out of 100 observations. Here is David's XLS: http://trtl.bz/frm-t1-5-hs-var

Value is risk is just a statistical feature of probability distribution (the hard part is specifying the probability distribution): VaR is the quantile associated with a selected probability; i.e., what's the worst that can happen with some level of confidence? See David's XLS here...

Concept: These on-line quiz questions are not specifically linked to learning objectives, but are instead based on recent sample questions. The difficulty level is a notch, or two notches, easier than bionicturtle.com's typical question such that the intended difficulty level is nearer to an...

Concept: These on-line quiz questions are not specifically linked to learning objectives, but are instead based on recent sample questions. The difficulty level is a notch, or two notches, easier than bionicturtle.com's typical question such that the intended difficulty level is nearer to an...