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

learn more… | top users | synonyms

1
vote
1answer
103 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 ...
1
vote
3answers
147 views

Appropriate measure of risk if return are not normally distributed

Normally standard deviation of an assets is used as an proxy for the risk in the financial market. In reality distribution of return is more peaked at the center and higher mass in the tail as ...
1
vote
0answers
176 views

Historical volatility on bloomberg API

Is there a way to obtain the historical volatility of a stock from the bloomberg API? I would be looking for the data in the HVT table. Actually 3-months historical volatility from now would be enough....
3
votes
1answer
88 views

Approximation of an option price

The value of an option in the money is 11.50 Euros. The parameters of the market are: -The price of the underlying stock: 81.4 Euros. -The volatility ofthe underlying is : 34.65 % The ...
4
votes
1answer
149 views

Libor Market Model Calibration

Currently I am doing a research on the plain vanilla multi-curve framework Libor Market Model meaning that no stochastic volatility is involved. I had the idea to calibrate to the swaption market. In ...
0
votes
1answer
112 views

RiskMetrics VaR Volatility Sample Size

RiskMetrics calculates volatility using an exponentially weighted moving average. For a decay factor of 0.94, they advise a sample size of 74 past returns. Does this mean the entire calculation should ...
0
votes
0answers
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 ...
2
votes
1answer
111 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? ...
2
votes
1answer
51 views

Integrated volatility

Can someone give me an explanation of what integrated volatility is (and possibly why it is preferred) versus a standard measure of volatility eg variance?
1
vote
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 $T/dt$ ...
1
vote
2answers
134 views

Which volatility to use?

For calculating the greeks http://www.vollib.org/html/apidoc/vollib.black.greeks.html Should I use historical volatility or implied volatility?
0
votes
1answer
51 views

Volatility of monthly performances, where the last month is short

I'd like to calculate the vol of a return series of, say, 25 months. However, the last of those months is not completed yet. The last data point only refers to the first 21 days of the month (say, ...
4
votes
2answers
158 views

Constructing a minute-by-minute volatility curve

For market making in front month vanilla commodity options we need a volatility curve that updates every second or so as the underlying and the options change prices. If all the strikes have a good ...
1
vote
1answer
59 views

Is there any package in R for conditional autoregressive range model (CARR)?

I am working on a project which requires volatility estimation using range based volatility. Is there any package in R which helps me in estimating the CARR model proposed by Chou (2005).
4
votes
1answer
194 views

VXV vs. VIX futures: arbitrage opportunities?

At a first glance, VXV and VIX futures should not be compared at all: VXV is an underlying index, whilst VIX futures are derivatives written on a different underlying index, that is, VIX. As instance,...
0
votes
2answers
118 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......
0
votes
0answers
32 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 ...
0
votes
2answers
92 views

Volatility of EUR/USD: is this correct?

Let x be the closeBid price of EUR/USD, sampled every 5 minutes during year 2015 (historical data). This is the variation (is it ...
3
votes
6answers
229 views

Intuitively speaking, why do at the money options have no volga/convexity?

I was wondering if someone could give me an intuitive explanation as to why the vega of at the money options doesn't increase with volatility. I've seen some mathematical explanations showing the ...
9
votes
3answers
352 views

Why is there a stong intraday-correlation between spot and vol?

Fig.1 shows an intraday scatterplot of the DAX future against its volatility index VDAX on 6-Jan-2016. The data suggest a strong negative correlation between the two. There are various models ...
2
votes
1answer
66 views

Estimating volatility from high frequency price volume data of multiple stocks

I have price volume data of five stocks, sampled at 1 minute interval for six months. The data is quite noisy, lots of missing data and also some weired spikes. Can someone suggest me how to clean ...
2
votes
4answers
82 views

Do stocks move up and down in value or in proportion to how much they cost?

Do stocks change in value or in proportion to how much they cost? If a stock costs 100 dollar will it generally change value at the same rate as a 700 dollar stock (IE: both will move about 2 dollars ...
2
votes
1answer
102 views

GJR-GARCH with $\alpha = 0$ as parameter estimate

I am estimating a GJR-GARCH(1,1) model with variance targeting in R. As data I am using returns on some stock indices. While calculating the GARCH models I obtain $\alpha=0$ for some indices. From ...
5
votes
2answers
194 views

How to derive this approximation of the risk-neutral expectation of the variance?

On the paper Bollerslev, Tauchen and Zhou (2009 RFS) the authors say about equation (15): The corresponding model implied risk-neutral conditional expectation $$E^Q_t(\sigma^2_{r,t+1})=E_t(\...
0
votes
2answers
53 views

Black Scholes Implied Volatility -> Put call parity

The theory says that the put and call with the same maturity and strike have the same volatility. I have been resolving the Black Scholes equation after IV using equity and fx market data and I can ...
1
vote
1answer
102 views

how to do interpolation in the term structure of volatility surface?

everyone~ I am a newbee in the quantitative finance and I meet a problem in working out an equity option volatility surface. We use the reasonable market data to derive the implied volatility, then ...
0
votes
1answer
31 views

Calculating Volatility Parameter using Closing Prices [closed]

Say you have 3 closing prices... 101 100 102 How would one calculate the standard volatility parameter using these values? I am quite confused, it seems simple enough though.
2
votes
2answers
196 views

Forecast of volatility

What are the well known methods for forecasting (daily - weekly - monthly) volatility of a stock price? How about a bond price? Let's say I have in my disposition the price time series at a very high ...
2
votes
0answers
48 views

When to use SV or a GARCH model

So i have been searching for this answer for a question if there is a rule or something that would say when to use GARCH type model or use an stochastic volatility model to predict the volatility of ...
9
votes
1answer
137 views

Estimate Beta of CAPM from Implied Volatility?

In the CAPM theory Beta of asset $i$ are estimated in this way: $ \beta_i = \frac{\sigma_{im}}{\sigma^2_m} $ where $\sigma_{im} = \rho_{im} \sigma_i \sigma_m$ But all these data are historical data. ...
0
votes
0answers
49 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 ...
0
votes
1answer
73 views

pricing with implied volatility surface

I am a newbee in Quantive finance. supposing I calibrate a smoothing implied volatility surface with cubic spline now. A minute later I want to price K=100,t=1 option, can I just find the point on ...
0
votes
1answer
47 views

volatility skew for lognormal model is flat?

Does anyone know why the volatility skew for lognormal model, such as BK, should be a flat line, meaning that implied black volatility for options will be same for those with different strike prices? ...
1
vote
1answer
72 views

MSRV estimation in R

What are the R packages that let you estimate Multi Scale Realized Volatility (MSRV)? So far I've only found highfrequency (which comes with Realized Kernel as well), but from what I understand it ...
0
votes
1answer
63 views

CCC-Garch predict

So I'm trying to measure the VaR of 2 stock with a multivariate GARCH model, so im using the CCC model. I need to predict the standard-diviation and the mean but the ...
1
vote
2answers
129 views

Which one is best Performance evaluation measures?

I want to compare the performance of various volatility models like GARCH, eGARCH, and gjrGARCH from actual volatility(computed using high frequency data). I found 3 common performance evaluation ...
9
votes
3answers
349 views

Why do volatility and correlation increase in times of crisis?

can somebody please explain to me why volatility and correlation increase in times of crisis? It is connected somehow to the herding effect. But I cannot really explain it. And also why are negative ...
2
votes
2answers
128 views

Calibrating stochastic volatility model from price history (not option prices)

For stochastic volatility models like Heston, it seems like the standard approach is to calibrate the models from option prices. This seems a bit like a chicken and an egg problem -- wouldn't we ...
1
vote
0answers
83 views

Comparing Implied Vol. to Historical Vol. using intraday data

I'm interested in estimating what my profit/loss would be for continuously gamma scalping a delta hedged option over the course of one day, using historical intra-day price data. I found an equation ...
1
vote
0answers
44 views

Motivation for hedging volatility using VIX ETNs

i wondered what the motivation for professional investors could be to engage in VIX ETNs. Would they even think about trading this kind of product? (they normally should have access to VIX options, ...
0
votes
0answers
36 views

Lambda in RiskMetrics for fixed income

What is the default lambda proposed in RiskMetrics for fixed income?
0
votes
0answers
35 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 ...
1
vote
2answers
106 views

Smoothing factor of Exponential Moving Average

I'm trying to implement an Exponential Moving Average indicator, but I'm sort of stuck on the smoothing factor. What I've come up with: $$\frac{1}{N}\sum\limits_{k=0}^N \alpha^{k} P_k$$ Where N is ...
2
votes
0answers
48 views

OHLC Covarianc Estimation

Is there an R package which can estimate a covariance matrix using OHLC (Open/High/Low/Close) share prices for upwards of 40 shares using the Yang & Zhang method using daily data? I google ...
1
vote
1answer
209 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.
3
votes
2answers
862 views

how do we know if the volatility which is quoted in market is Normal (Bachelier model) or log normal (Black 76)?

in market, many instruments are quoted in volatility, but how we can tell what kind of volatility is this? is it normal volatility, or lognormal volatility. because it affect our hedging positions so ...
10
votes
3answers
382 views

Historical Volatility vs Implied Volatility Performance in Pricing Options

I consistently read on academic papers, when pricing options, using implied volatility is better than using historical volatility. Because, market is more "forward-looking" and historical data is "...
1
vote
1answer
51 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 ...
3
votes
3answers
227 views

Could we estimate a portfolio's volatility using a GARCH on the portfolio returns?

Estimating the volatility of a portfolio is typically done by first estimating the covariance matrix. This, however, can be difficult to do accurately and predictivly. This paper gives a nice summary ...
2
votes
0answers
96 views

Callable bond price sensitivity to Hull-White volatility changes

I'm using classic Hull-White model for short term interest rate dynamic: $$dr(t)=[\theta(t)-\alpha(t)r(t)]dt+\sigma(t)dW(t)$$ (Notation is quite intuitive, anyway I am using the same as Wikipedia ...