# All Questions

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### Are Fama-Macbeth R-Squared (R2) just assymptotically correct?

I have been doing a research on comparing Fama-MacBeth and panel regression procedures. Think of it as an emerging market case for Petersen (2009) link. My research consists of a route based on full-...
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### No-arbitrage in term-structure models

I am a bit confused about what the implication of "no-arbitrage" in popular term struchture models (such as affine term struchtre models or HJM models) are? Is it solely a restriction on the cross-...
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### Pricing a Double Knock In Option

I have been looking at pricing a barrier option that has payoff of your usual European Call option, $\max(S_T - K, 0)$ if the stock price exceeds a horizon $A$ and then afterwards drop under some ...
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### Consumer Price Index (CPI) Inflation Impact on Price of Securities

I was wondering if there are any papers on CPI announcements' impact on the price of certain securities that are tied to inflation rates. I know there are derivatives for inflation rate, but I was ...
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### Should factor signals decay?

If the factors have information content, I expected factor portfolios constructed using recent financial statements should outperform portfolios using stale data. To test this, I used the Professor ...
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### Newey-West standard errors in Fama-MacBeth regressions

I noticed that during the recent decade most of papers, which use Fama-MacBeth regressions compute Newey-West standard errors. I tried to find detailed description of this procedure in the books on ...
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### Implementing Hanson`s LMSR with Limit Orderbooks

I am trying to integrate Hanson's LMSR (see (see logarithmic market scoring rule)into an order-book with traditional bid/ask-limit orders (in KDB+/Q). The following functions define the basic LMSR ...
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### Why is market cap used to value equity instead of a self consistent solution?

My claim is that if we use the cost of equity of a levered firm via the DCF method then we make errors. Specifically if we find the firm is under-valued then in truth its more under-valued than we ...
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### Higher Order Greeks

In studying options pricing a while back, I had learned of the higher order sensitivities of of Speed and Color. Speed was the rate at which the gamma changes with the underlying. Color is a ...
979 views

### Creating Factor mimicking portfolio returns

I have some trouble understanding how to create factor mimicking portfolio returns. As pointed out in this question, Tsay provides a small description, but I am unsure if my procedure is correct. In ...
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### Exposure calculation of a re-coupon swap

How to calculate the exposure of a recoupon swap (when the MTM of an i.r. swap is settled and the fixed rate is reset to the prevailing swap rate for the residual maturity). It's used to reduce the ...
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Let's take a look at market-maker's option quote in vol terms: 8.5 / 9.5. In that example bid-ask spread equals 1.0 point of vol. Can anybody clarifying how market-maker choose amount of spread in ...
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### How to find a probability of VIX moving from one price to another

I asked a similar question on here with a bounty. I decided to modify the question to simplify what I am trying to do. Is there a package on MATLAB or some other tool where I can find the probability ...
480 views

### Create One's Own Daily OHLC data

Given that it's possible to download hourly bars, usually with a UTC timestamp, from most brokers, it then becomes possible to create one's own daily bars. I am thinking of doing this and would like ...
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### Retrieval of MSCI factor index performance data from the web

I hope this question is on-topic. What is a convenient way to get MSCI index performance data from the web? I would be interested in daily performance data of the factor indices momentum, minvol, ...
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### Fixing mean reversion parameter in the 1F HW model

I am trying to calibrate the 1 factor Hull White model to ATM swaptions. The strategy which I use is to minimise the sum of squared difference between model and market prices for the swaptions on the ...
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### Panel data - Use fixed effect or random effect in predicting stock returns

I'm currently writing a master thesis where I look at the predictive power of Google search volume in predicting the movement of the Norwegian Stock Market (Oslo Børs). I'm using Google search volume ...
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### How to estimate option implied skewness and kurtosis in R

Suppose that i have data that for each day i have more than one option, either put or call. I.E. I have more than 20 put options and 20 call options for each specific day. What is the way to estimate ...
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### Fitting GARCH(1,1) in Python for moderately large data sets

I am using the arch package in python to fit a GARCH(1,1) to fit daily S&P 500 returns from 1990 to 2017 (about 6800 data points). The code I am using is as follows: ...
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### Meaning of cross sectional rank

This paper mentions the concept of rank which is defined as cross sectional rank. For e.g. one of the alphas (#3) is (-1 * correlation(rank(open), rank(volume), 10)) 10 is just the number of days ...
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### binomial trees and finite differences

I was reading Tavella Randall book and their explanation why binomial trees are a particular example of finite differences. I started having additional questions. So, they way they do that is saying ...
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### VAR FPCA analysis paper replication

I've been trying to replicate the following publication: CONSISTENT FUNCTIONAL PCA FOR FINANCIAL TIME-SERIES, Sebastian Jaimungal, Eddie K. H. Ng, 2007 but I havent been able to get the same results ...
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### Variance of a portfolio based on log-returns

Modern Portfolio Theory Optimization Problem is based on expected linear returns and covariances of linear returns. That's said, variance and expected return of a portfolio based on linear returns r ...
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### 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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### Trading signal strength: [-1 to 1] or [predicted return]?

In the context of a backtesting engine, is it better to have strategy generate trade signals in the range from -1 to 1 or as exact predicted returns (e.g. -12% or 26%). The difference lies in how to ...