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

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29 views

Pattern recognition through moments [on hold]

Can the extent of mean reversion and trend in a given price dataset be explained by a combination higher moments (skewness/kurtosis) of returns? If yes, how do we combine these moments to come up with ...
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17 views

What does (a,b,c curve coefficients) mean for an Implied Volatility Parameterized Surface data? [on hold]

I have a dataset which provides a, b, c curve coefficients for an Implied Volatility Parameterized Surface data for a ticker. What do they mean?
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36 views

Volatility of CDS

I have calibrated a stochastic intensity CIR model to CDS data. The model reads $d \lambda_t = \kappa(\theta-\lambda_t)dt+\sigma \sqrt{\lambda_t} dW_t$ When calibrating the parameters I get ...
2
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1answer
86 views

Question regarding volatility forecasting using High Frequency Data

Hi guys this is my first question on the Quantitative Finance section of the Stack Exchange network. I am currently reviewing the paper by Professor Alan E. Speight and David G. McMillan 'Daily FX ...
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1answer
63 views

Realized Vol for 15 min interval using second Data

I would like to calculate realized volatility for a 15 min period. Most of the literature I looked up shows how to construct daily realized volatility using intraday data. These literatures does use ...
10
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1answer
406 views

Appropriate measure of Volatility for economic returns from an asset?

In order to use Real Option Valuation (ROV), using Black-Scholes equation, I must know the volatility of the economic returns for T years. Knowing this information what could be the appropriate ...
3
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2answers
189 views

GARCH models vs VIX

I am examining how investor sentiment affects the probability of stock market crises. I am using methodology similar to this paper https://ideas.repec.org/p/dij/wpfarg/1110304.html. VIX (equivalents) ...
3
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1answer
315 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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0answers
36 views

Volatility of the adjusted prices mean reversion

When computing the volatility on the adjusted stocks' prices, would the resulting volatility be mean-reverting? I believe that the volatility of the log returns is mean reverting, but I am not certain ...
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1answer
231 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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0answers
51 views

Calculating weekly portfolio returns for portfolios sorted by volatility

I am having some issues with finding the right code in STATA for sorting the data into portfolios by historical volatility (standard deviation) of returns and then calculating portfolio returns and ...
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1answer
58 views

Difference between Deterministic Volatility Function approach and Ad Hoc Black Scholes?

I am thoroughly confused after reading Dumas, Fleming & Whaley (1998) "Implied Volatility Functions: Empirical Tests". Both the Ad Hoc BS Model and the Deterministic Volatility Function ...
4
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1answer
201 views

Monte Carlo, convexity and Risk-Neutral ZCB Pricing

I've built a simplistic Excel monte carlo model to price a zero-coupon bond, but it came up with a slightly unepxected result so I wanted to confirm whether my maths is just a little rusty or my model ...
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0answers
64 views

Estimate Volatility process

How can I estimate the process $\sigma_{t}$ given in the following paper: Spot volatility estimation for high frequency data. J. Fan, Y. Wang. Does anyone have an idea? Free source Edit: Iam very ...
3
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2answers
103 views

GARCH variance vs standard deviation for volatility

in my series of questions related to GARCH and volatility I finally think I've got a decent grasp on it. You guys have been great help clearing up my questions for me. My next question is just a ...
4
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1answer
127 views

GARCH volatility modeling, squared returns, and convergence

After reading some more of Volatility Trading, I decided to try to make a simple volatility model using daily log returns of an ETF I follow. It turns out "simple" is sort of relative. Unfortunately, ...
3
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1answer
169 views

rugarch: GARCH external regressors

I'm currently playing around with the great rugarch package in R. However, I tried to test the external regressor functionality. I implemented a GARCH(1,1) process and compared it with a GARCH(0,1) ...
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1answer
27 views

Transforming log return volatility into standard return volatility

If I have a forecasted volatility of the log returns of say, 0.03, this is obviously transformed relative to the log I took of the returns. It strikes me that I should raise ...
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1answer
50 views

How is possible to relate volatility with risk?

I read that equallying voliatility with risk is one of the hardest critics on Quantitative Finance and that this is -indeed- the fundamental base of Quant. This question is analogous considering that ...
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1answer
130 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? ...
5
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1answer
176 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} ...
3
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3answers
5k views

relation between asset's and equity volatilities - merton model

In terms of Merton credit risk model need to find the initial value of counterparty's assets and the volatility of the assets. Both value are not directly observable thus we have to approximate them ...
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1answer
109 views

Understanding Yang-Zhang Volatility Estimator

I am using TTR in R and I am trying to understand the Yang Zhang volatility estimator. The following equations seem to imply a single value: $$ \sigma = \sqrt{{\sigma_o^2}+k\sigma_c^2+(1-k)\sigma_{rs}...
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0answers
52 views

What is the unconditional variance for a GARCH model?

I want to use a Matlab script to calculate Heston Nandi GARCH prices. I found an appropriate script online and it asks for the "unconditional variance" as an input. How do I calculate the appropriate ...
3
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0answers
37 views

CBOE Index Minute Data

I am doing a small research and looking for a place to purchase historical minute CBOE Index data. I am interested in: VIX - CBOE Volatility Index VVIX - CBOE VIX VOLATILITY INDEX VXV - CBOE VIX ...
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2answers
104 views

Quanto derivatives and FX risk management

Let us assume that we have a foreign asset with volatility $\sigma_{ASSET}$. Now, I know that when pricing this under the foreign measure, I need to do a drift adjustment, namely $\sigma_{ASSET NEW}^2 ...
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2answers
56 views

Why would one prefer variance swaps over other instruments?

I understand that an investor who has a view on an underlying's variance would be tempted by a variance swap. But why would one prefer such a contract over another instrument whose value is based on ...
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36 views

Volatility Parametrization Libor Market Model - Underspecified Model?

Does the volatility parametrization that I have chosen give an underspecified model? Which volatility parametrization in the Libor Market Model would suit the best for the particular case described ...
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1answer
51 views

GARCH Model Constant in Regression

When regressing a variable on a constant of 1, the coefficient of this constant is the mean. However, when I specified that the residuals follow a GARCH(1,1) model, the coefficient of the constant ...
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0answers
18 views

Liquidity horizons of risk factors categories

I'm reading the consultative document of the BCBS on the Fundamental Review of the Trading Book: http://www.bis.org/publ/bcbs265.pdf Table 2 on page 16 shows the liquidity horizons for 5 broad risk ...
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1answer
52 views

Prove Volatility Parametrization of Libor Market Model is Bounded/Not Bounded

How can I prove that the function $$\sigma_i\left(t\right) = k_i\left[\left(a+b\left(T_i-t\right)\right)e^{-c\left(T_i-t\right)}+d\right]$$ is bounded/unbounded? $\sigma_i\left(t\right)$ is the ...
6
votes
1answer
130 views

Why is the GARCH intercept supposed to be strictly positive?

Maybe it's a simple question but I don't really understand why it is theoretically required. Let's take the standard GARCH(1,1) $$\sigma^2_{t+1}=\omega+\alpha\epsilon^2_{t}+\beta\sigma^2_{t}$$ In most ...
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0answers
45 views

Transition Between Volatility Regimes

Emanuel Derman wrote a great paper in 1999 about volatility regimes and the adjustments the market makes during these periods (sticky strike, sticky implied tree, sticky delta, etc). Has any ...
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2answers
63 views

Put Volatility Smiles and Implied Volatility

I have been observing the option chains of put options with differing maturities. I have noticed that those puts with a close expiry date have the steepest volatility smiles. Can someone please ...
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1answer
50 views

Volatility for time periods with little data

When I want the monthly volatility of stock and I only have data for about one month and I do calculation like this: ...
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3answers
117 views

What is the rationale behind using SV models with 2 distinct volatility processes?

In the Double Heston model, there are 2 distinct volatility processes. The SDEs read \begin{align} & d{{S}_{t}}=r{{S}_{t}}dt+\sqrt{{{v}_{1}}(t)}{{S}_{t}}d{{W}_{1}}(t)+\sqrt{{{v}_{2}}(t)}{{S}_{t}}...
1
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1answer
56 views

Historical volatility from non-uniform samples

The way I compute historical volatility is that I take two parameters $dt$ and $T$, get a list of stock prices with the step of $dt$ over the window $T$ (so $T/dt+1$ samples in total), compute $T/dt$ ...
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34 views

Estimate Option Price Given X% Move N Days in the Future

I was wondering if someone could recommend a method to estimate the price of an option N days from now given an X% move in the underlying. I have fitted a volatility surface but where I am running ...
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4answers
553 views

Trading spot volatility

I am reading a paper that very briefly talks about some volatility arbitrage strategies. It's so brief that I do not exactly understand how it works. It says one of the strategy is based on "short ...
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0answers
45 views

Comparison of Implied Vol Models

My goal is to evaluate a collection of implied volatility models for accuracy supporting real time theoretical pricing of listed equity option. My current research approach is to define a set of ...
1
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1answer
113 views

Does the unconditional variance implied by a GARCH equal the sample variance?

In the MATLAB default settings for GARCH estimation they say "presample conditional variance is the sample average of the squared disturbances of the offset-adjusted response data y". Am I right in ...
3
votes
2answers
93 views

How to transform Ornstein-Uhlenbeck parameters from hourly to daily?

I get the parameters (long-term mean, volatility, mean-reversion speed, correlation) of two correlated Ornstein-Uhlenbeck processes via a likelihood estimation from hourly data. If I want to transform ...
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0answers
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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2answers
98 views

Accuracy Rebonato Swaption Approximation Formula among Different Strikes

Can somebody explain me if the Rebonato swaption volatility approximation formula is accurate for only ATM strikes, and if yes why? Can it also be used for ITM and OTM strikes? My foundings: Let $0 &...
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0answers
120 views

VIX ETP Net Vega exposure

Does anyone know the calculation that these EQD desks are using to calculate the net Vega exposure of the VIX ETPs? I am assuming it involves shares outstanding in each ETP, the value of a 30 day ...
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2answers
120 views

Estimation of annualized volatility depending on data frequency - exceptions to the general rule?

From my understanding, the annualized standard deviation of daily returns is generally higher than of annualized standard deviation of weekly returns is generally higher than.... monthly...quarterly......
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1answer
39 views

When is option value inversely related to expected volatility?

It is common knowledge that the greater the expected value, the higher the option value. However, there are surely exceptions, as written by Paul Wilmott's FAQs in Quantitative Finance Q: If you ...
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72 views

How to choose a GARCH model which delivers iid standardized residuals?

For my thesis I first need to examine nine financial time series and fit a conditional volatility model such that the obtained standardized residuals ($z_t = \epsilon_t / \sigma_t$) are approximately ...
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2answers
8k views

What is the “leverage effect” for stocks?

I've read the so-called "leverage-effect" for stocks models the fact that if a company is leveraged, its volatility should increase as the stock price moves lower and closer to the level of debt. Can ...
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2answers
3k views

SPX options vs VIX futures trading

Forward volatility implied by SPX options, and that of VIX futures get out of line. If there existed VIX SQUARED futures they could easily be replicated (and arbitraged) with a strip of SPX options. ...