A measure of the variation in price over time. Also a measure of the risk of a financial instrument.

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158 views

DCC GARCH - Specificating of ARCH and GARCH parameter Matrices STATA

The command in STATA to calculate the DCC model of two variables is: mgarch dcc ( x1 x2=, noconstant) , arch(1) garch(1) distribution(t) $$ \begin{bmatrix} ...
4
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1answer
493 views

Moving window forecasting in Python

I am looking to create some code that will out-of-sample forecast the HAR-RV model. The model itself is formulated as the following, and the betas are estimated through HAC-OLS or Newey-West. ...
3
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1answer
333 views

How to adapt a Moving Average period to market conditions?

I would like to know if there is some way to adapt the period of a moving average to market conditions like for instance the stop loss can be adapted to market conditions using the average true range. ...
2
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1answer
100 views

VEC GARCH (1,1) for 4 time series

I have to estimate a VEC GARCH(1,1) model in R. I already tried rmgarch, fGarch, ccgarch, mgarch, tsDyn. Has somebody estimated a model like that? ...
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1answer
187 views

BEKK - GARCH model in Stata

Is it possible to run BEKK-GARCH in Stata? mgarch is of a different model type and google provide me with no good hints.
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1answer
50 views

impact model what volatility to use

I am looking at the market impact paper here (http://www.cims.nyu.edu/~almgren/papers/costestim.pdf) and I had a question about volatility on page 11. On page 11 it is stated: "For volatility, we use ...
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88 views

How to determine volatility for private company for Black-Scholes

I am trying to determine the volatility to use Black-Scholes to value some warrants for a private company. Very few comps are public or they are large diversified businesses. Any thoughts on how to ...
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40 views

How is the formula for the VEV (VaR-equivalent volatility) in the PRIIP document derived?

The recent regulation (page 32) on PRIIPs requires to compute a VaR-equivalent volatility defined as $$\mbox{VEV}=\frac{\sqrt{3.842-2\ln \mbox{VaR}}-1.96}{\sqrt{T}}$$ Does anyone have an idea how ...
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13 views

Do smaller horizons better estimate volatility for longer horizons than the longer horizons?

Suppose you want an estimate of the 20 day return variance. You could grab historical lagging 20 day windows to build an estimate, or you could build 10 day lagging windows (twice as many data points) ...
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52 views

Easy question (?) - how to measure if volatility for two samples is significantly different?

For my bachelor thesis I'm doing a research where at one point I want to measure if volatility for a certain sample of stocks in period A is significantly different from i) the same sample of stocks ...
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47 views

Delta of an option in two cases

Let C be the prime of a call in fi=unction of the price in term F, Strike K, volatilité $\sigma$ and maturity t: $C(F,K,\sigma,t,r) $ We assume that we know $\delta$ ...
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21 views

How to appropriately measure volatility in assets with different execution dates?

Let's say I have two assets and I am hedging them with going short on two other assets. Let's say that asset 1 is expected to expire in one day and asset two is expected to expire in two days. Let's ...
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30 views

Could VVIX and HYspread combined make for a SPX trade signal?

assumption 1: if there is no excess liquidity, then prices of equities cannot rise assumption 2: if there is "sufficient" excess liquidity, then whether prices of equities rise, stay put, fall depends ...
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41 views

Impulse response function interpretation

I would need a quick help with Impulse response function interpretation which I have done after Vector autoregression model in stata. I need to understand how to interpret IRF graph or table values ...
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0answers
35 views

Lambda in RiskMetrics for fixed income

What is the default lambda proposed in RiskMetrics for fixed income?
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33 views

Integrated Volatility in Diffusion Processes vs Volatility of Discrete Processes

In a Diffusion Process of the form $$dX_t = \mu(X_t)dt + \sigma(X_t)dW_t $$ the Integrated Volatility is defined as $$IV_t = \int_t^{t+1} \sigma^2(X_s)ds.$$ In this case, the Integrated Volatilty ...
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49 views

Estimate volatility in forecast

I have a model with a rolling forecast. In each time step $t$, I predict the price for the next periods, e.g. $\hat{p}(t, t+1)$ and $\hat{p}(t, t+2)$. If I start in $t=0$ and arrive at $t=2$, I ...
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51 views

Realized Volatility: errors correlation

When using Realized Volatility (sum of squared intraday returns) to estimate volatility, following the model: $$r_t = \sigma_t \epsilon_t $$ where $\sigma^2_t$ is the volatility at time $t$ and ...
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109 views

Fixed volatility portfolio with max returns creates skewed results

I am trying to create a portfolio of only four components using the mean-variance optimization (MVO). I am setting up my problem such that I want to maximize the expected returns with a fixed vol ...
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115 views

Stochastic Volatility for Stocks, FTSE

Can someone help me with calculating Stochastic Volatility (of stocks and options) using SAS or R or Matlab please? I am new to SAS and I am trying to use Heston model, White-Hull model or any other ...
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55 views

Returns used in volatility calculation

Can anyone explain the definition of returns they use in this paper? Page 142: https://www.jpmorgan.com/jpmpdf/1320538072221.pdf, where it says $R^j_{k,n} = \sum_{i=1}^{13} \lambda_j^i \times \ln ...