1
vote
1answer
57 views

forward vs spot simply-compounded spot interest rate

Question about forward vs spot simply-compounded spot interest rate.Some definitions $P(a,b)$ a zero coupond price at time $a$ and maturity $b$ $L(a,b)$ simply compounded spot interest rate set at ...
1
vote
2answers
96 views
+50

M&A hedging an equity portfolio against an index

Quick Note This question was already posted under the userID user8170. Reason being I could not access my account. Now I am able to login to my account I am reposting the question here and will ...
4
votes
3answers
230 views

selecting test data for neural networks

I have been working on a neural network based on certain technical indicators. As people familiar with neural networks would know after developing a hypothesis, the developer is also supposed to ...
2
votes
0answers
25 views

Modelling currency exchange rates timeseries data across re-denomation dates

I am working with data for an exotic currency, that has been re-denominated a couple of times during the twenty years of data that I have. What is the best way of 'normalising' the data, so that I ...
5
votes
1answer
129 views

How to price a Swing Option?

I'm working in the commodity market and I've to price Swing Options with MATLAB, preferably with finite element. Has anyone already priced these kind of derivatives? I'm thinking about using the ...
1
vote
0answers
47 views

How to develop your own interest rate model?

How can you develop your own interest rate model? What must be take cautiously before making one? Also what is the regulation that one mustfollow? Also what is some common properties that models ...
0
votes
1answer
78 views

Intermarket analysis - related time series?

I'm about to embark on training a neural network on daily forex data, with a view to obtaining a predictive network. I'm also interested in using data other than the forex currency pair data itself, ...
2
votes
1answer
65 views

How to classify stocks by their volatility?

I would like to hear other possible ways of classifying Stocks by the Volatility of their returns. Assuming that I want to characterize each stock as Low, Medium or High Volatility Stock and assuming ...
1
vote
1answer
20 views

Methods for “prompt month equivalent” exposure in commodities forwards/futures markets

It is common in commodities markets to hold many positions, both long and short, across a range of contract months beginning in the prompt month (today, September) to five or more years out. In ...
0
votes
0answers
29 views

Why we substitute volatility into other financial models? [on hold]

why are we often substitute volatility into other financial models? volatility is $\sigma_T=\sigma\sqrt{T}$ What kind of behavior does volatility have compare to other possible alternative choice ...
2
votes
1answer
78 views

What is the reasoning to derive this financial model called the Vasicek Model?

The model specifies that the instantaneous interest rate follows the stochastic differential equation $$\mathrm{d}r_t = a(b-r_t)\: \mathrm{d}t + \sigma \: \mathrm{d}W_t$$ where $W_{t}$ is a Wiener ...
0
votes
0answers
14 views

multi factor equity model exposures not as expected

I'm researching an equity multi factor model. It contains three factors, say A, B & C. The factors are weighted as such, ...
10
votes
5answers
4k views

Using linear regression on (lagged) returns of one stock to predict returns of another

Suppose I want to build a linear regression to see if returns of one stock can predict returns of another. For example, let's say I want to see if the VIX return on day X is predictive of the S&P ...
2
votes
1answer
33 views

hedging with a 3 month fx forward every month

I think this is a bit odd question. Let us say I want to hedge my fx exposure every month but using 3 month forwards . How can I do that ? Is it not easy just to use 1 month forwards ? I recalculate ...
1
vote
0answers
22 views

Doubt on risk cost criterion

I want to minimize some kind of risk sensitive cost. But, I am confused what cost criterion should I use. I am aware of only expected exponential utility. I want to know what are the other such ...
5
votes
1answer
368 views

Testing the validity of a factor model for stock returns

Consider the following m regression equation system: $$r^i = X^i \beta^i + \epsilon^i \;\;\; \text{for} \;i=1,2,3,..,n$$ where $r^i$ is a $(T\times 1)$ vector of the T observations of the dependent ...
0
votes
2answers
51 views

Infinite autocorrelation - Unit root?

I have a time series of gold prices, on which I want to build an ARIMA model. The series is autocorrelated and if I can difference as often as I want, it always is. First: data: d1gold Dickey-Fuller ...
1
vote
1answer
53 views

Cholesky Decomposition on Correlation Matrix for Correlated Asset Paths

I found a matlab example for modelling correlated asset paths: http://www.goddardconsulting.ca/matlab-monte-carlo-assetpaths-corr.html In this model the author uses the matlab code chol() in order to ...
0
votes
2answers
92 views

How is the price of a bond actually determined?

How the price of a bond is actually determined? Is it the supply-demand that determines the price first and then the YTM is calculated on the back of this for that bond. Or is it that the changes to ...
2
votes
1answer
105 views

Volatility of Futures

Apparently: Under a constant interest rate, the futures price is given by a deterministic time function times the asset price (I think I understand this). This means that the volatility of the ...
0
votes
3answers
57 views

What is the effect of dividend yield being greater than the risk-free rate to American options pricing?

Even though dividends are discrete, literature often makes the assumption of continuous dividends (mostly in the case of indices but the individual stocks as well). The dividend yield denoted by q is ...
2
votes
1answer
42 views

Approximation of different volatilities

Suppose I model the forward swap rate lognormal $$dS_t = \sigma_{ln}S_tdW_t$$ On the other hand we could model it simply by a normal assumption: $$dS_t = \sigma_{n}dW_t$$ I would like to know if ...
3
votes
1answer
62 views

multiperiod optimization using R

I'm interested in multistage optimization problems. Are there any good R packages around to solve such problems over time? I'm not at all an expert in it, so maybe someone knows a good paper / lecture ...
20
votes
8answers
2k views

How to design a custom equity backtester?

I was thinking about writing my own backtester and I realize I have to make some assumptions. So I was hoping I could post what I am planning on doing and hopefully some of you can give me some ideas ...
1
vote
1answer
53 views

How can theta be so large on this option?

The AAPL Sep 95 put currently has a theta of -.21. The put midpoint is .84. 84/21 = 4 days. However, the put has nearly a month before expiration, at which time it will be zero. Not 4 days from ...
-2
votes
0answers
23 views

Stock Price Evolution Equation Clarifications [on hold]

What is the dimension of Δt? Is it second [s]? What are the expected return and the expected volatility? How can I calculate them for any given stock? Should I use the return and volatility values for ...
0
votes
1answer
57 views

Probability of stock closing over a certain price

A stock has beta of 2.0 and stock specific daily volatility of 0.02. Suppose that yesterday's closing price was 100 and today the market goes up by 1%. What's the probability of today's closing price ...
1
vote
1answer
49 views

ADR vs Foriegn Stock Price Arbitraguers

So I am sure you all know about the whole Argentina default that has been in the papers lately, no need to delve into it. This so called "technical" default has lead some interesting investment ...
1
vote
0answers
21 views

Valuation of barrier options in Jump diffusion model

I am trying to evaluate the value of a Barrier option using Monte carlo method. The stock follows a jump diffusion model. I am using the method described in Metwally and Atiya. The authors describe ...
2
votes
0answers
38 views

An optimization problem on Markov Chain

Consider a Markov Chain $\{X_n\}$ whose transition probability depends on some parameter $\theta$ ($p_{ij}(\theta)$). Now I want to optimize the following quantity $$\lambda(\theta) = ...
3
votes
1answer
167 views

Is it possible to model general wrong way risk via concentration risk?

General wrong way risk (GWWR) is defined as due to a positive correlation between the level of exposure and the default probability of the counterparty, due to general market factors. (Specific wrong ...
1
vote
1answer
69 views

what is General IB2 Restriction in Basel II credit risk model

I was reading Basel II wiki page, it says: The first pillar The first pillar deals with maintenance of regulatory capital calculated for three major components of risk that a bank faces: ...
1
vote
1answer
51 views

Stress Testing Methods

I'm working on the following task: Given quarterly data: a time series representing the 1-year realized (10 years of data) rates of default on a portfolio of mortgages a slew of ...
1
vote
0answers
42 views

one-step-ahead Stochastic Volatility for 5-minute VWAP prices

I'm trying to run an SV model against prices of Euro/USD. For those not familiar with SV, its a volatility model in which each point gets its own volatility parameter $h_t$ with 3 main parameters that ...
1
vote
1answer
49 views

Explain drop in Correlation between two time series in consecutive periods

I have a time series for a security list with 2 parameters calculated for each time period. For example, for a stock XYZ, I have Param1 and Param2 calculated over various time periods stacked against ...
1
vote
1answer
155 views

what is a typical way forex brokerages can provide cheap leverage for their customers?

I'm not very well read in the area of high finance but I'm curious how forex brokerages are able to provide the backing for leverage that they can provide to customers. Is it possible to do this ...
1
vote
2answers
28 views

Impact of NZD mid-day EST Roll forward

Was taking a look at an NZD spot deal that was traded on a Friday for value the following Tuesday (t+2). Somehow this trade became classified as a forward by our back office systems (dealer says they ...
2
votes
0answers
27 views

what kind of test for volatility and where find the data

I am working on a model for stochastic volatility. In short, the model try to capture that the volatility goes up suddenly after a shock (war, policy, financial events, etc) and then goes down slowly, ...
1
vote
0answers
34 views

CVA formula proof

I'm struggling to prove the CVA formula in this paper. Equation (3) is the result of computing the expectation of formula (1). Could you please show me how to prove that?
4
votes
1answer
163 views

Why does regression capture differences in volatility?

I read the following statement in the book python for data analysis, chapter 11, and I was wondering if someone could give me intuition about why regression has this effect? The purpose of the ...
2
votes
2answers
311 views

Robust Returns-Based Style Analysis

Sharpe's Return-Based Style Analysis is an interesting theory but flawed in practice when working with long-short funds or funds that are changing strategies over shorter periods of time due to the ...
0
votes
0answers
23 views

Time series analysis of PnL with an increasing variance and large negative values [on hold]

PnL can take large negative values, and its variance increases over time as the firm grows. If we do differencing, an increasing variance remains. If we take log, negative values cannot be defined. ...
-1
votes
0answers
22 views

A question about how to design Option

There is a question about the construction of an option Manufacture and option from plain vanillas that makes money in case of low volatility and does not lose too much in the opposite scenario. ...
2
votes
0answers
31 views

Testing for the presence of a positive or negative gamma effect

I am currently analyzing a statistic that I believe will have the effect of hedgers having a positive or negative gamma position in certain stocks. In the case where I believe hedgers have positive ...
2
votes
2answers
121 views

How to work out weights for a portfolio based on an inverse ratio with positive and negative values?

I am trying to work out how to determine weights for the assets in order to form a portfolio. The ratio I am using is EV/EBIT, hence the smaller the better. The problem is I don't know how to handle ...
48
votes
10answers
32k views

How can I go about applying machine learning algorithms to stock markets?

I am not very sure, if this question fits in here. I have recently begun, reading and learning about machine learning. Can someone throw some light onto how to go about it or rather can anyone share ...
1
vote
0answers
15 views

Incoherence in Bloomberg Data in Swap Curve Builder (ICSV)

When working on calibration for LMM model, we need to have Initial Libor quotes and Swaptions Black vol quotes on the market data. We have data provided by Bloomberg. However, before performing the ...
0
votes
2answers
86 views

How can I calculate Fama-French betas for a particular stock?

For a particular stock, what's the simplest way to calculate betas for the Fama-French factors SMB and HML?
3
votes
0answers
30 views

For an affine process, how do we know the second order term is positive definite?

A regular affine process is defined to have the generator $Af(x) = \sum_{k,l=1}^d(a_{kl}+\langle a_{I,kl},y\rangle)\frac{\partial^2f(x)}{\partial x_k\partial x_l}+\langle b+\beta x,\nabla f(x)\rangle ...
3
votes
1answer
68 views

factor models and using cross section regression

I have been doing some reading on factor models. In the literature it mentions that when creating a portfolio that maximises particular attributes it may lead to unwanted bias to other factors. I ...

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