1
vote
0answers
79 views

Risk factors for derivatives on dividends

I consider pricing and risk analysis of derivatives on dividends of the members of equity indices (such as Dow Jones EuroStoxx). There are options but I focus on futures. What are the main risk ...
2
votes
0answers
373 views

Does the geometric Ornstein-Uhlenbeck process have stationary variance?

I know that the long run variance of the standard OU process is $\lim_{s\rightarrow \infty}\mbox{Var}(P_{t+s}|P_t) = \frac{\sigma^2}{2\theta}$ I'm using the geometric version of the process. I ...
14
votes
2answers
1k views

From a high frequency point of view, with a price prediction and assuming infinite leverage, how do you determine optimal trade size?

I have read about something like Kelly criterion for long term expectation maximization assuming a fixed starting bankroll. But if one can assume unlimited leverage, and one has a signal for a price ...
0
votes
1answer
99 views

Assessing Forcasting with Correlated Residuals

Trying to use a linear regression model to forcast the CPI. I noticed that when I took a moving average of the residuals, though homsokedatisc and nonautocorrelated(ie they squiggle up&down with ...
3
votes
3answers
486 views

YTM and current yield

Which of the following statements is correct? a. If a bond’s yield to maturity exceeds its coupon rate, the bond’s current yield must also exceed its coupon rate. b. If a bond’s yield to maturity ...
2
votes
2answers
178 views

Portfolio risk-return when assets have limited and inconsistent historical data / time series?

Lets say we have "today's" snapshot of asset allocation and need to determine the 6mo, 1 yr and 5 yr risk and returns of this portfolio. If the time series for every asset is very long, longer than ...
1
vote
2answers
367 views

What is the instantaneous P&L of a Variance Swap?

What is the instantaneous P&L of a variance swap. Is it $(\sigma^{2}_{t}-\sigma^{2}_{implied})dt$?
6
votes
3answers
1k views

What really drives option implied volatility?

A common and oft repeated belief regarding options volatility is that implied volatility increases due to people bidding up a contract, usually related to anticipation of the outcome of an expected ...
4
votes
2answers
240 views

How to reactivate a risk mangement rule in an automated process

If some conditions are met (stop loss, trailing stop, take profit...) we will close ours positions (sell/buy) to avoid having more loss or to ensure profit. In an automatic trading system, it is easy ...
0
votes
1answer
87 views

What is the meaning of the discounted process defined from the interest rate process?

Assume a money market has interest rate process $R(t)$. In Shreve's Stochastic Calculus for Finance II, formula (5.2.17) on page 215 defines the discounted process as $$ D(t) = e^{-\int_0^t R(s) ds}. ...
3
votes
1answer
243 views

Where can I get historical ticker change database?

There's 30 days worth of data at http://www.otcmarkets.com/marketActivity/symbol-changes - but I'm really looking for the past 10 years, or 5 years if only that is possible. Any dice? The closest ...
3
votes
3answers
657 views

Does implied vol vary for calls vs puts?

Volatility skew tells us that options with the same maturity at different strikes can have different implied vol. However, can a corresponding call and put for the same strike and maturity have ...
2
votes
1answer
314 views

Calculating the probability of a price change using an options pricing formula

I don't know if I'm doing this right and I'd greatly appreciate help. I'm trying to use an option pricing formula to backout the likelihood of the Euro dropping below $1.27, even for a minute, at any ...
11
votes
1answer
281 views

Are BSDE's used in practice?

In the academic applied probability/math finance community, Backwards Stochastic Differential Equations (BSDE's) are extremely popular, and they provide a single framework for several different ...
4
votes
1answer
178 views

Hedging with actual volatility: problem understanding the math behind the result

From this paper. page 3 We get that the total profit at expiration is the difference in value between the price of the option with actual volatility and the one with implied volatility. I have tried ...
0
votes
0answers
280 views

Mean Reverting Spread

I have constructed a mean reverting spread using two indexes. I know they have to be mean reverting, but when plotted side by side they are mean reverting for a little bit and then deviate and head ...
1
vote
0answers
228 views

Call options portfolio: what would the underlyings' moments to be maximized?

Let you have only three underlyings, like SPY, TLT and GLD, and you want to buy $n_{1}$ Call options on SPY, $n_{2}$ Call options on TLT and $n_{3}$ Call options on GLD... with a limited budget, that ...
0
votes
2answers
355 views

Why the implied volatilities calculated are so different

I Calculated facebook option(expired in 12/4/13) Implied Volatility with the Bisection Method. The program will be attached at the end. The results for different strike prices are so different: ...
3
votes
2answers
258 views

Black-Scholes and Fundamentals

So basically $dS_t=\mu S_tdt+\sigma S_tdWt$ and $\mu=r-\frac12\sigma^2$ I have just been thinking about this later equation. This is very interesting because it ties together risk-free ...
20
votes
8answers
8k views

Digital Signal Processing in Trading

There is a concept of trading or observing the market with signal processing originally created by John Ehler. He wrote three books about it. Cybernetic Analysis for Stocks and Futures Rocket Science ...
4
votes
3answers
465 views

Central Limit Theorem and Lévy processes

Lévy processes are self-decomposable and independent on any non-overlapping interval, so how come the distribution of the process at time T,$\phi(T)$, which is the sum of N i.i.d with law $\phi(T/N)$ ...
7
votes
3answers
169 views

How to justify a model that could not predict external factors?

I'm building some models, for example, Bad Loan (NPL) rate. It's based on historical simulation method -- basically it's saying the future behavior could be predicted by history data. However, this ...
0
votes
2answers
151 views

Credit risk data

I am trying to get historical data for credit risk and do some analysis on it as a school project. I thought CDX index might be a good proxy for typical credit risk data, but I am not sure. Typically ...
0
votes
1answer
354 views

Matlab - Differences between rng and rand

I was trying to run some Monte-Carlo simulations and if I used: rng(seed, 'Twister'); For some reason I would get "Option Values Can not be Negative" errors in the blsimpv function, but if I just ...
1
vote
0answers
67 views

Problems with exact Heston simulations

I am just wondering if there is any problem with the so-called "exact" Heston simulations? So far what I have seen are the good things about it, what are the disadvantages? Because if it is so ...
5
votes
0answers
679 views

VaR model Unconditional Coverage Tests: Is this extension of Kupiec POF test correct?

Background: Kupiec P. in 1995, published paper "Techniques for Verifying the Accuracy of Risk Management Models" on Journal of Derivatives, v3, P73-84, it's a Unconditional Coverage Tests designe for ...
3
votes
2answers
114 views

Endogeniety of Black-Scholes

I know this is a naïve question but how does the BS formula have a closed form solution? It seems from what I am reading Price impacts delta, price influences volatility which in turn influeces delta ...
3
votes
1answer
218 views

Examples of investable factors via factor funds/ETFs

In the draft chapter about hedge funds of his forthcoming book Andrew Ang postulates the dawn of new factor funds (p. 35 ff.), i.e. funds that directly target factors like volatility, value-growth, ...
0
votes
0answers
155 views

Correlation Sensitivity

Suppose I have 2 stocks $S_{1}$ and $S_{2}$: \begin{align} & dS_{1}=rS_{1}dt+\sigma_{1}S_{1}dB_{1}\\ & dS_{2}=rS_{2}dt+\sigma_{2}S_{2}dB_{2}\\ & dB_{1}dB_{2}=\rho dt \end{align} Then I ...
4
votes
0answers
233 views
0
votes
1answer
2k views

Calculating pre-tax cost of debt

This is a simple problem but I'm not sure about one aspect of it. A company has 15 year bonds outstanding, with a 5% annual coupon, a face value of \$1000, and a current market value of \$1100. ...
1
vote
2answers
141 views

Reasoning behind multiple names for the equivalent risk measures AVaR/ETL/ES/CVaR

Doe's any one know the history behind, or background of the multiple naming conventions for the equivalent risk functions. Different quant authors prefer using different names, does any one know why? ...
22
votes
9answers
8k views

Why does the minimum variance portfolio provide good returns?

I've been a researching minimum variance portfolios (from this link) and find that by building MVPs adding constraints on portfolio weights and a few other tweaks to the methods outlined I get ...
1
vote
3answers
343 views

Kolmogorov-Smirnov test

Is Kolmogorov-Smirnov test self-sufficient to prove normal distribution of a time series? And then test efficiency of a market?
6
votes
3answers
374 views

Scanning a stock database for errors/flaws

I'm currently working on some matlab code that is supposed to check a stock database for any errors (missing values, wrong values, etc.). The reason for this is that after reading this post I came to ...
2
votes
2answers
802 views

Theta's effect for OTM options

How does $\Theta$ change for deep out-of-the money options? Looking at the below graph, it seems the time decay is highest for ATM options and increases rapidly as we approach maturity of the option. ...
5
votes
3answers
316 views

Calculate the expectation of a shift CDF

Suppose $X$ is a normal random variable with mean 0, and variance $\sigma^2$. $F(x)$ is the CDF(cumulative distribution function) of a standard normal random variable(mean 0 and variable 1), how to ...
5
votes
0answers
342 views

option chain data visualization, sunburst

I think option chains are not represented in the best way. With more and more options products coming out and trading on the various exchanges, I see vendors struggling to keep up with a good way to ...
3
votes
1answer
247 views

Choice of epsilon for numerical calculation of vega in binomial option pricing model

I have a binomial option-pricing model (I don't think the details of how its implemented are relevant). However, when I go to calculate vega, I am essentially running the model a second time with new ...
4
votes
2answers
467 views

Is drift rate the same as interest rate in risk-neutral random walk when using Monte Carlo for option pricing?

When using following risk-neutral random walk $$\delta S = rS \delta t + \sigma S \sqrt{\delta t} \phi$$ where $\phi \sim N(0,1)$. Now when a text mentions drift = 5% does that mean that interest ...
2
votes
0answers
184 views

Data feed that shows individual orders

Does anyone know how I can obtain time and sales data for a stock? Lots of feeds provide the total volume but I would like to see the breakdown of what buy/sell orders made up the day's volume. I ...
5
votes
2answers
362 views

Correlation decay in lognormal distribution

I noticed that if you use two correlated geometric brownian motions, the correlation structure decays in time pretty fast even for really high correlation values. I think that is not replicating ...
0
votes
1answer
271 views

Doesn't a perpetual option contradict the Black-Scholes framework?

A standard example when learning to price American options is the perpetual American put. This is a put that has no expiry (or you can consider T = infinity). The standard solution prices this using ...
2
votes
1answer
194 views

Is Optimization ignoring correlation valid?

I have a fairly pedestrian optimization problem: Max sharpe, subject to a x% vol target. I have a set of expected returns, asset vols and a correlation matrix. I am finding that when i set the ...
3
votes
3answers
1k views

How to distinguish between different types of algorithmic trading

Algorithmic trading involves the use of algorithms to optimally execute trading instructions. Then there are algorithms which initiate trades, based on various quantitative strategies (e.g. pairs ...
7
votes
2answers
217 views

Is there a comprehensive reference book on US fixed income conventions?

In Canadian fixed income markets there is a nice handbook called Canadian Conventions in Fixed Income Markets (PDF). It contains detailed market standard pricing formulas for calculating prices, ...
10
votes
3answers
680 views

What is the expected return I should use for the momentum strategy in MV optimization framework?

As all research on the momentum strategies are focused on the indicator, i.e. the entry point, there seems not much discussion on its expected return? Though there are some discussions on the exit ...
0
votes
1answer
353 views

main arbitrage & statistical arbitrage concepts

can we please summarise here some of the basic concepts, tools used in arbitrage and statistical arbitrage in real life? ARB: benefit from price difference on same asset ARB: difference between ...
5
votes
2answers
807 views

Is the binomial model wrong?

In the standard MBA one-period binomial model, the value of an option is $v = \frac{1}{R}\bigl(\frac{u - R}{u - d}V(sd) + \frac{R - d}{u - d}V(su)\bigr)$ where $R$ is the realized return over the ...
2
votes
1answer
161 views

backtesting a 5% quantile model of a discrete value random variable?

If a random variable is discrete, and we are interested in its quantile value, how to define a proper back testing procedure? For example, the underlying variable with a discrete value is $$ ...

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