# Questions tagged [value-at-risk]

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96 views

### VaR on Interest Rate Swaps

I am a newbie and was after a simple explanation on how VaR is calculated for a portfolio of IRS's.
28 views

### PRIIPs KID: if VaR (Return Space) < -1, how to compute VEV (VaR-equivalent volatility)?

The PRIIPs regulation does not specify how to compute the VaR-equivalent volatility if $VaR_{Return Space} < -1$. What would you do in the following case? I have the following moments from the ...
64 views

### Does VaR calculations consider my portfolio past

I am relatively new to trading and decided to become more quantitative about it. I have had a portfolio for about two years, where I changed my positions several times. I now learnt about VaR ...
514 views

### Manually calculating and backtesting VaR and CVaR from DCC-GARCH R

I estimated a GARCH fit to the log returns of three series (CAC 40, a french real estate index and french T10 bond yield series) using rugarch. I then manually ...
34 views

### How is VaR calculated for forward contracts accounting for European put options?

My initial idea is to create profit and loss using an equation like this: \begin{align} P\&L = & \text{European Put P&L} + \text{Forward P&L}\\ P\&L = & [(K-S_T)^+...
125 views

### VaR using normal vol vS lognormal

We are using a vendor's software to calculate the Parametric VaR (using RiskMetrics approach) that take as input the volatility figure of the risk factors. The volatility used so far was the lognormal....
52 views

### Risk factor mapping of a foreign bond

Suppose the investor is Australian, and there is a single, 3-month, USD-denominated zero-coupon bond with a face value of \$1 million USD. The AUD/USD exchange rate is \$1.2AUD/USD, and the 3-month US ...
532 views

### Central limit theorem and VaR

If I have a lot of data points and number of different dependent variables, can I use central limit theorem to assume data is multivariate normal and compute my VaR? Is this the appropriate use of ...
45 views

### How is a return-adjusted nearby created?

I am reading Value-at-Risk Second Edition – by Glyn A. Holton https://www.value-at-risk.net/futures-nearbys-and-distortions/ From 6.6.1 "The standard means of obtaining continual time series from ...
183 views

### Is there a Python package that implements backtesting for VaR?

I would like to use the tests of Christoffersen (1998), Engle and Manganelli (2004) or Kupiec (1995) to evaluate how good are the VaRs that I have projected. Is there a library that implements these ...
50 views

### How is VaR calculated with mixed return-periods

For example, if you have a dataset of returns that are not daily or yearly, but span 24 days, 1 day, 5 days, 7 days, etc., how do you calculate or interpret the VaR of that? I've tried linearly ...
86 views

### How to set VaR and other Risk Limits

I have read a lot of literature on how to calculate VaR and it's advantages and disadvantages. But I am struggling to find anything on how to set a VaR limit. For example, say if I am a Risk Manager ...
296 views

### Portfolio VaR of a hedge portfolio (long index, short future): What total exposure to take to calculate VaR?

Imagine a portfolio is made of 20m USD invested in equities and -18m USD of MSCI World futures (sell 18m USD short). The annualised volatility of the 20m USD in equities (Equ.) is 15% and the ...
246 views

### Sharpe ratio with CVaR for denominator and different investor utility functions

I would like to model different type of investors, hence I need to find some kind of utility functions to optimize. Apart from very abstract exponential utility function, I couldn't find any proper ...
72 views

### Computing VaR in a Monte Carlo simulation (question from Joshi's book)

I am studying Joshi's book on C++ for derivatives pricing. I am at chapter 5 on implementing a statistics gatherers class to use in a (simple) MC routine for pricing vanilla options, where it is ...
2k views

### Stress Testing for VaR

I am trying to perform stress testing for VaR and have taken into consideration two methods:- 1. Sensitivity analysis 2. Historical scenario analysis. According to the Derivatives Policy group we ...
490 views

78 views

### Standard market risk platform Value-at-Risk (VaR)

if possible, could you share publicly available methodological guides/pamphlets or post links to specialised websites which give sufficient detail of the basic assumptions, algorithms and possible ...
56 views

### Covariance matrix for risk factors of a FX Forward contract

Does it make sense to calculate log-returns of interest rates from a zero curve? Context: I'm trying to build a variance-covariance matrix for the risk factors of a USDBRL FX Forward maturing in 1 ...
141 views

### Can you predict MTM gain or losses on future contract?

I am working on a structured product where I am investing some percentage of invested amount in futures contract. I have created a bull put strategy and I will calculate the delta positions of that ...
729 views

### Expected Shortfall Basel III style: what is the idea?

I would like to do a qualitative question about the Expected shortfall in the Basel 3 document. First of all let me introduce few definitions. Suppose to have a portfolio $P$ depending on a family ...
96 views

### Estimating VaR of bond due to changes in the US yield curve

I am attempting estimate the 99% 10-day VaR of an investment grade bond due to changes in the US yield curve. The data provided is the daily prices of the bond over time. In addition I have the Daily ...
133 views

### Correlation for Trading vs. Risk Management

Assume a portfolio that contains some asset A and that I am contemplating hedging my delta in A by taking a position in asset B. I would determine how much of B to buy/sell based on the linear ...
71 views

### Is scaling the standard deviations in the VaR formula (parametric) equivalent to scaling the VaR figure at the end?

I have come across people calculating parametric VaR who scaled the standard deviations by say square root of 10 to scale up to a 10 day horizon. Elsewhere I have seen textbooks suggesting that it is ...
210 views

### Parametric VaR, Normality and Subadditivity

Good evening; I just have a simple question about Value at Risk and the subadditivity property, and I know that it may sound silly I got that, in general, VaR is not subadditive. However, if a ...
48 views

### LogNormal VaR Formula Risk Metrics

https://web.mst.edu/~huwen/teaching_VaR_Weiqian_Li.pdf On page 6, the paper above mentions RiskMetrics would use the following VaR formula: ...
77 views

### VaR and Expected Shorfall estimations with negative shape parameter of a GPD (Extreme Value Theory )

So im trying to replicate an code from the Quantative Risk Management Book (https://github.com/qrmtutorial/qrm/blob/master/code/09_Market_Risk/09_Standard_methods_for_market_risk.R). But when i try a ...
303 views

### Do the minimum VaR and minimum ES portfolios lie on the mean-variance efficient frontier?

The mean-variance efficient frontier holds the minimum variance portfolio, but in the graph above it shows that the minimum VaR (Value-at-Risk) and minimum ES (CVaR) portfolios (expected shortfall/...
47 views

### what is a simple parametric VaR approach that can be used to compare with ISDA SIMM results?

i am looking for a simple parametric VaR approach that includes vega and/or gamma. i am not sure if to choose a non symmetric distribution for the pnl, what would people use, perhaps some shifted ...
94 views

### question about significance level

A case study in a exam material goes like this: "Assume that the bank reports a daily VAR of \\$100 million at the 99% level of confidence. Under the null hypothesis that the VAR model is ...
251 views

### Monte Carlo VAR with differente asset classes

I have found a very useful post regarding the use of Monte Carlo simulaton to obtain portfolio Value at risk, based on Cholesky decomposition, random variates, etc. This post I'm talking about is: Is ...
39 views

### Implications of modeling operational risks without frequency distribution

When modeling operational risk, the Loss Distribution Approach (LDA) is widely used. Usually, we model the loss frequency distribution and the loss severity distribution and then aggregate both to ...