Questions tagged [volatility]

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

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89 views

Interpretation conditional volatility plot

I have plotten the log differences of exchange rates and in the same plot, I show the conditional volatility $\sigma_t^2$. The conditional volatility follows approximately the same path, but is much ...
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Uncertain volatility

Recently, I have encountered something called "uncertain volatility". Is it a popular concept in QF? Do practitioners use it nowadays? What are its pros and cons compared to e.g more familiar ...
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120 views

Local volatility and Stochastic Volatility

Please help me understand similarity and differences between local volatility and Stochastic Volatility both intuitively and mathematically.
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Fair Strike for Variance Swap with no Skew in IV Surface

I am reading through Derman's 1999 research notes, "More than you ever wanted to know about Volatility Swaps." In equation B4 of Appendix B, the author takes the Taylor Series of the variance swap ...
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How to correctly simulate volatility shocks?

I am working on the comparison of different volatility timing/target strategies on portfolios starting from different conditions (data, asset classes, calculation of realized volatility, different ...
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How to determine the risk-neutral measure in a Heston model?

To clarify, I'm quite familiar with the risk-neutral pricing framework, and I know one can efficiently Monte-Carlo a Heston model via the non-central $\chi^2$ distribution approach. But so far we're ...
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Best topics to begin Quantitative Finance Research/Programming

I have a background in mathematics (Functional Analysis and Probability Theory) and am looking to acquaint myself with research in quantitative finance, particularly with a programming component. ...
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How to normalize different instruments by volatility?

I'm trying to think on a way to normalize stocks to be on the same scale depending on their recent volatility. Is there some theoretical reference on the subject or and experience you can share?
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What is the intuition behind “jumps” causing volatility skew?

Some models use jumps as a way to explain volatility skew. I understand that if jumps exist, then you are "mishedged" as you no longer can continuously hedge. Options have a gamma component and ...
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annualized volatility formula is an approximation?

suddenly having troubles with the annualized volatility formula... is it really an approximation? one usually writes the standard deviation of the yearly percentage change in the stock price as $$\...
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Reading this ichimoku cloud how do you read this wdfc chart?

Having trouble reading the charts as the breakouts aren’t clear What do you see in this chart?
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129 views

In-sample volatility measurement

I would like to know what is the most reasonable way to measure volatility in a sample of past observations. Aside from standard deviation, are more complex models like GARCH used for (historical) ...
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Annualzing the log of daily returns riddle

Two popular ways to measure returns are Arithmetic returns and Log returns. Let's define arithmetic (simple period) returns as: P(t) - P(t-1) / P(t-1). Let's define log return as Ln( P(t)/P(t-1) ) or ...
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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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ATM Curve Construction: Short-Dates

Please explain example 1 and example 2. In example 1 how does 6 appear in the square root function. And in example 2 it is written:" Assume it is known that spot will be completely static during the ...
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Volatility spread of Strangle

It's written in a book by Giles Hewitt : " The bid-offer spread quoted on a Strangle in volatility terms will usually be wider than the ATM spread to the same maturity because strikes away from the ...
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Why are GARCH models used to forecast volatility if residuals are often correlated?

The answers to this question on forecast assessment suggest that if the sequence of residuals from the forecast are not properly independent, then the model is missing something and further changes ...
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FX Smile Curve Extrapolation

How a smooth smile curve is generated from 5 smile points : 10D RR, 25D RR, 10D SM, 25D SM and ATM? What are the commonly used extrapolation and interpolation techniques? I have seen people ...
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Realized vol/var log-normal approximation

It is not clear to me what is a better approximation (based on empirical evidence or otherwise), a log-normal approximation for realized volatility or log-normal approximation for realized variance? ...
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CDS volatility: daily return calculated by simple substraction (Pt - Pt-1)?

I am working on validating the CDS volatility generated by a third party risk engine. It appears that returns are calculated with simple substractions and adjusted for the CS01: (Price of the CDS ...
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Can variance change over time?

I'm working on a toy project that involves fantasy basketball, I know this is the quantitative finance stackexchange, but it seemed like the best place to ask this question. My goal is to make ...
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What is the best method to factoring/calculating pre and post event volatility? Such as for company earnings

What is the best method to factoring/calculating pre and post event volatility? Such as for company earnings.
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How To Calculate The Implied One Day Expected Return For Earnings

I am trying to figure out how to calculate the one day expected return given I have the event volatility. In his book Trading Volatility, Correlation, Term Structure and Skew, Collin Bennet (link) ...
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293 views

Why is volatility skew/smile for long term options flatter compare to short term options?

Volatility skew/smile for long term options is flatter compared to short term options, could someone help to explain why is that the case? Thanks
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Local volatility Formula and How To use it

I'm new to Volatility Modelling, so the content of this question may be completely wrong and th question naive. I'm reading "The volatility surface" by Gatheral. I'm trying to get a sense of the first ...
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TSRV parameters selection

I'm thinking about how to select the $J$, and particularly, $K$ parameters for the Two Scale Realized Volatility estimation? I cannot find any reference for that in the original paper - there it says $...
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HAR-RV model for predicting 1-min volatility

I would like to use HAR-RV model (Heterogenous AutoRegressive - Realized Volatility) to predict a 1 minute realised volatility using the HAR model. As regressors I intend to use RV of previous minute, ...
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Duan (1995) GARCH Option Pricing Model with MATLAB

This is the MATLAB code that replicates the option pricing model proposed by Duan in his paper "The GARCH Option Pricing Model". However, the parameters estimated in the file do not match with the ...
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relationship between option vol and option payoff

Has anyone thought of the relationship between the option vol and distribution of option payoff? for example, I have 1000 paths of simulated underlying prices, keeping all inputs the same but only ...
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How to compute reference share price and reference volatility in CreditGrade?

I'm trying to implement CreditGrade in python, from the msci Technical Notes (https://www.msci.com/documents/10199/dd31bcce-6fe3-47b7-9fb7-10c4c8f750ba) but I'm running into some comprehension trouble ...
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1answer
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Why do we fit volatility surfaces implied from a option pricing model to the empirical data?

As far as I understand volatility surface. It is made of 2 components, the volatility skew/smile and the volatility term structure. Together they form something like Implied volatility is ...
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1answer
109 views

model high frequency bitcoin volatility

I am trying to model volatility of 1-minute returns of BTC, but it seems to me that the data do not behave traditionally. I tried fitting GARCH, eGARCH with ARMA (1,1) or (2,0), but I am not confident ...
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1answer
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Realized Volatility Methods

Can someone explain to me which of these two methods is more accurate or commonly used to calculate Realized Volatility? I'm seeing both used, but I get very different results from them. 1) Standard ...
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Different definitions of volatility (simple question)

I have a basic question on volatility that I wanted some clarification on. In finance books (such as Hull), there's a few different ways volatility is defined. One of them is the standard deviation ...
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Weighting schemes - Volatility

One extension to this weighting scheme is to assume a long-run variance level in addition to weighted squared return observations. The most frequently used model is an autoregressive conditional ...
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1answer
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Can I use root mean square(RMS) to calculate volatility of intraday feed data?

I've been using standard deviation as a direct/simple approach to calculate volatility of a given intraday feed data. My question is it logical/sensible that using root mean square (RMS), which is the ...
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Why do stocks with high sensitivities to innovations in volatility have low average returns?

Ang, Xing and Zhang (2006) state that "stocks with high sensitivities to innovations in aggregate volatility have low average returns". I am familiar that this question has been asked before in ...
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“high sensitivity to innovations in aggregate volatility”" [duplicate]

Ang, Xing and Zhang (2006) state that "stocks with high sensitivities to innovations in aggregate volatility have low average returns". I am familiar that this question has been asked before in ...
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How to apply the “Knapsack Problem” to minimise a portfolio's volatility?

Suppose I have a stock selection universe of 100 stocks. I have estimated the covariance matrix of this 100 stocks. I would like to create an equaly-weighted basket of 5 stocks which has the lowest ...
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1answer
118 views

How to calculate standard deviation cone around expected returns?

I would like to evaluate the returns of an investment manager who has given me their return and volatility expectations for their fund. I would like to calculate both 1 and 2 standard deviations from ...
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Delta Neutral / Gamma Neutral Positions

I've been trying to find out more about options positions which are both delta neutral and gamma neutral--created with some kind of calendar spread. Supposedly, such a trade will be perfectly hedged ...
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Leveraged Permanent Portfolio Using ITM Call Options

The permanent portfolio proposed by Harry Browne has had an excellent track record since the 1970's. It is able to compound at roughly 8% annually with a Sharpe ratio around 0.7. The permanent ...
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Stock Volatility with Uncertain Probability

Suppose that the probability that determines the state of the economy is unknown. That is, you do not know whether the booms or recessions are more likely. Calculate the expected return and the ...
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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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433 views

SABR ATM volatility

The ATM implied volatility is important in SABR when calibrating the model. Let's consider the ATM vol (for a european call option): $$\sigma = \frac{\alpha}{f^{1-\beta}} \left[ 1+ \left(\frac{(1-\...
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Estimating at-the-money volatility where at-the-money option is absent from the market

I am trying to estimate the intraday ATM volatility in a market where the the strike prices are relatively sparse thus the ATM option may not exist (let's say the closest strike is about 2% away from ...
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1answer
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Convert volatility to yield

I have an elementary bond volatility math question - if 5y black vol is 38 and normal vol is 68, and the yield is 1.85%, how do I calculate 1 stdev in yield terms? As in how many basis points (or ...
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568 views

Volatility surface for Swaptions

I understand the volatility surface for swaption is built using implied vols of ATM swaptions. I had a question on the instruments that are used. Should the instruments used change depending on the ...
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Why do coefficients flip after the including a lag in the optimisation? implied volatility/skewness/ivspreads

I'm hoping some of you guys can help me out. I am applying the paramametric portfolio optimisation of Brandt, Michael W., Pedro Santa-Clara, and Rossen Valkanov. in which the weights on specific ...
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how to model NGARCH using 5min frequency data?

NGARCH model using 5-min High-frequency data in R I wanted to analyze some 5 minute frequency data of stock market. My teacher asked me to use NGARCH to model, but I didn't know how to program.Here ...