8
votes
1answer
385 views

What are the main differences in Jump Volatility and Local Volatility

Is a JV model simply Local Vol + Jump Diffusion? If so, it seems logical that an existing JV model be able to be used for valuation of both Vanilla and Exotic options. Is this true? Does a Local ...
5
votes
2answers
579 views

System Development / Optimization

I have been testing a trend following strategy. The results shows massive drawdowns which makes the equity curve very unstable. I just wanted to know what are some ways in which I can reduce the ...
5
votes
3answers
590 views

Pricing callable range accruals on spreads

What is an efficient method of pricing callable range accruals on rate spreads? As an example: A cancellable 30 year swap which pays 6M Libor every 6M multiplied by the number of days the spread of ...
7
votes
2answers
323 views

Stochastic recovery rates

How do I model the randomness of recovery rate given default when pricing credit derivatives?
11
votes
3answers
945 views

Rate interpolation in Libor Market Model

Libor Market Model (LMM) models the interest rate market by simulating a set of simply compounded, non-overlapping Libor rates which reset and mature on predefined dates. How do I obtain from them a ...
6
votes
1answer
374 views

Correlation skew mapping

What methods can be used to map the correlation skew of a credit index on a bespoke CDO portfolio?
21
votes
8answers
10k views

How should I store tick data?

How should I store tick data? For example, if I have an IB trading account, how should I download and store the tick data directly to my computer? Which software should I use?
7
votes
1answer
330 views

Reject inference

What are the most effective techniques for reject inference in the context of retail credit scoring. Parcelling is something I use frequently... Any other approaches out there?
11
votes
3answers
3k views

Free intra-day equity data source

Are there any free data source for historical US equity data? Yahoo finance has daily prices but I'm looking for something more granular and goes back 2 or more years (doesn't have to be close to tick ...
5
votes
4answers
621 views

Free data on swap options

I am trying to analyze valuation methods for swaptions. Does anyone know of free example data for these OTC-traded securities?
2
votes
0answers
265 views

How to calculate correlations(COT report) in R ? [closed]

First thing i want to do is load data(.csv) into R. The data i am concentrating are the COT reports. Want to load a single column into R and calculate the correlation with the proper instrument.
62
votes
15answers
8k views

Video lectures and presentations on quantitative finance

What are your favourite video lectures, presentations and talks available online? A few rules: Must be related to quantitative finance. No Economics 101 courses, please. Try to avoid DIY lectures ...
7
votes
4answers
1k views

Statistical learning libraries

Is there a general (or specialised) FREE library to solve learning problems such that found in the book "The Elements of statistical Learning". As it is often time consuming to write all the ...
2
votes
0answers
289 views

Can you implement a condor options trading strategy in a spreadsheet? [closed]

Can you implement a condor options trading strategy in a spreadsheet? Could you give an example?
4
votes
2answers
287 views

Comparing Returns on a Sector Basis

I'd like to compare the returns of a portfolio segregated by groups to the returns of those groups in total. So say for example I have a portfolio with 40% Industrials and 60% Technology, then over ...
16
votes
6answers
4k views

Training set of tick-by-tick data?

I'm looking to find a free source of tick by tick data (<1sec) for training purposes. It doesn't need to be longer than a day, and I don't care what instrument, or exchange, or time it is. I just ...
14
votes
2answers
1k views

Is there a standard method for getting a continuous time series from futures data?

I would like to be able to analyse futures prices as one continuous time series, so what kinds of methods exist for combining the prices for the various delivery dates into a single time series? I am ...
3
votes
2answers
578 views

on “recovering probability distributions from option prices” - how to subtract influence of stochastic volatility?

This is based on a 1995 paper by Rubinstein/Jackwerth by the above title where the authors produces a distribution of stock prices inferred from option prices. But their approach only produces a joint ...
11
votes
2answers
525 views

Transparent quant products with real track record

A real track record is better than backtesting! I am looking for products, funds, certificates, indices etc. that are based on quantitative trading strategies where the strategies and performance ...
17
votes
2answers
660 views

How do you correct Max Draw-Down for auto-correlation?

When returns are auto-correlated, calculating a Sharpe ratio := $\frac {mean(x)}{\sqrt{var(x)}}$, (where $x$ are the returns) is complicated, but basically solved (see, e.g. Lo (2005)). Without the ...
1
vote
3answers
1k views

Probability - Generating fair outcome using unfair coin

I have been thinking a lot about the following puzzle. But, could not arrive at a solution. Can someone explain me how can you get a fair (equal probability) outcome using only an unfair coin (where ...
6
votes
4answers
1k views

What does it mean to modify the factor loadings of a credit risk model?

I came across an example where a well-known weakness of a credit risk model was dealt with by augmenting some of the existing risk factors via increased factor loadings. This made the the model more ...
14
votes
5answers
1k views

How to estimate the probability of drawdown / ruin?

A fairly naive approach to estimate the probability of drawdown / ruin is to calculate the probabilities of all the permutations of your sample returns, keeping track of those that hit your drawdown / ...
8
votes
3answers
2k views

Is variable binning a good thing to do?

Let's say you have a logistic regression model. Some of the factors are intrinsically categorical but some are continuous variables. Under which circumstances should a continuous variable be binned ...
6
votes
2answers
510 views

What is Quantization ?

I have asked myself many times about Quantization Numerical Methods, is anyone here familiar with the subject and could give a reasonable insight of what Quantization concepts are about, and what are ...
7
votes
2answers
522 views

Proving Random Walk Hypothesis in Stock Market

Given the time series for a particular stock market, what are the statistical weapons one can bring on to prove, or disprove that random walk hypothesis?
6
votes
1answer
508 views

Are special condition identifiers (e.g. AIG+) standardized?

Suffixes indicating class, preferred, new, etc., are well defined for NASDAQ and NYSE, but I can't find anything documenting the meanings of the trailing punctuation. For example, here's some that I ...
4
votes
2answers
290 views

What is a cubature scheme?

Ideally an intuitive explanation with an example, please.
8
votes
1answer
324 views

Are there any standard MBS coupon stack models?

I need to model MBS coupon stack prices. It would not be difficult to create something from scratch, but I don't want to re-invent the wheel (and explain why I did) if a somewhat standard model ...
3
votes
1answer
397 views

What is a Structurer?

People "on the Street" distinguish between quants and structurers. Who are the structurers? what do they do?
9
votes
2answers
2k views

Fundamental Theorem of Asset Pricing (FTAP)

In the spirit of canonical questions please state here versions of the FTAP in the following form (please only one theorem by answer) : Necessary definitions (or a direct link to definitions) ...
7
votes
2answers
1k views

Is there a technique for using xts or zoo objects with options data (i.e., many entries per date) in R?

I am starting to work with options data from optionmetrics. I use data frames, but it seems like xts or zoo objects are the way to go for features and speed. I can't figure out the best work-around to ...
11
votes
4answers
2k views

Volatility pumping in practice

The fascinating thing about volatility pumping (or optimal growth portfolio, see e.g. here) is that here volatility is not the same as risk, rather it represents opportunity. Additionally it is a ...
8
votes
3answers
1k views

What is a Quant

In the interest of having "canonical questions" on this site ... What is a Quant?
16
votes
2answers
1k views

Statistical properties of stochastic processes for moving average trading to work

Common wisdom holds it that a moving average approach is more successful than buy-and-hold. There is quantitative evidence for that across different asset classes (see e.g. this book, or this paper ...
9
votes
5answers
5k views

What is the implied volatility skew?

I often hear people talking about the skew of the volatility surface, model, etc... but it appears to me that a clear standard definition is not unanimously in place among practitioners. So here is ...
9
votes
4answers
4k views

What is a martingale?

What is a martingale and how it compares with a random walk in the context of the Efficient Market Hypothesis?
15
votes
4answers
1k views

Does mean-variance portfolio optimization provide a real edge to those who use it?

Mean-variance optimization (MVO) is a 50+ year concept, and perhaps the first seminal idea of quantitative finance. Still, as far as I know, less than 25% of AUM in the US is quantitatively managed. ...
18
votes
4answers
3k views

Any research on how natural language processing can be used to forecast stocks?

Is there any published research of decent quality linking news or unstructured information to asset returns? I know that Thomson Reuters offers its Machine Readable news (MRN), so somebody must use ...
16
votes
2answers
583 views

How do macro funds manage risk and model asset returns? Do they use factor models?

Some of the largest funds in the world are entirely macro-based: Soros, Brevan Howard, Bridgewater. They trade across asset classes, and seemingly with very concentrated allocations. What type of risk ...
15
votes
7answers
909 views

Are there ways to measure the risk aversion of a representative investor, based on publicly available market data?

Are there ways to measure the risk aversion of a representative investor, based on publicly available market data? Public available data could include asset price, volume, and flow data, and may be ...
15
votes
7answers
11k views

Is the Interactive Brokers API suitable for hft?

By hft here I mean anything with holding period less than 5-10mins... Any empirical/anecdotal evidence of using it successfully on even higher frequencies?
25
votes
9answers
4k views

How 'High' is the frequency in HFT?

How many trades per second are we talking about? What kind of strategies are used in this time frame? Can the small guy play the game?
20
votes
11answers
5k views

Is F# used in trading systems?

Similar to this other question about Scala, I'm interested in knowing whether F# is used to any measurable degree in financial circles. Have there been any successful shops using it, any research on ...
13
votes
6answers
7k views

Is Scala used in trading systems

I'm curious about high performance computing and consider algo/program trading as an interesting source of information about what are performant technologies that are used to trade the markets. Is ...
6
votes
1answer
1k views

How to make sense of VXX and the people who bought it?

I don't quite understand how anyone would invest in VXX (asides from short-term trades)... Since the VIX term structure is generally in contango, the VXX is doomed to bleed to death. Therefore, how ...
9
votes
2answers
2k views

Categories of systematic trading strategies?

What are the main categories of systematic trading strategies (e.g. momentum, mean reversion), as might be considered by an index or fund-of-fund analyst? Are there any common sub-strategies?
0
votes
1answer
902 views

basic stock trading strategies [closed]

What are some trading strategies for stocks (just stocks, no derivatives) using freely available online data sources?
5
votes
3answers
895 views

How significant is slippage in a successful quant fund?

On average, how much slippage (measured in lost % return potential) is typical for an operating quant fund that trades in, say, major U.S. equities?
6
votes
2answers
534 views

What quant terms to use to search for papers about “stop-hunting” trading strategies?

Are there any papers about possible trading strategies you can apply when you know where a large cluster of orders is located in the order-book? These seem to fall in the ...

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