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1answer
22 views

Logarithmic price defined as the midpoint of the log bid and ask : Simple Clarification

Guys I would like a simple clarification. The paper by McMillan and Speight (2012) at the data section, defines the logarithmic price as the midpoint of the logarithmic bid and ask. Is that translates ...
1
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1answer
73 views

How to understand the following brownian integral using Fubini's method?

I am a little bit stucked with the following integral process, using Fubini's method, this is an intermediate step of short rate Merton Model. $\int_{t}^{T} W(s)ds=\int_{0}^{\hat {T}}ds\int_{0}^{s}...
2
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1answer
81 views

Quantum Computing for Quantitative Finance

It's been a while that quantum computing is looked as the next step in computational science. I somewhat always tought we were decade aways from it's happening but it appears I was wrong: ibm-quantum-...
3
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0answers
63 views

what is the minimum capital necessary for quantitative/automated/algorithm trading? [closed]

I mean from my home for myself I have a degree in statistics so I know time series, predictions, R ... I would like to design statistical model for trading with R I don't ask for trading strategies, ...
1
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0answers
41 views

FIX engines comparison

Need help, looking for some comparison between c++ FIX engines, like onixs, antenna and some fpga solutions. If anyone has experienced some of the named engines also would like to hear the ...
0
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0answers
29 views

How to impose restriction on cointegrating vector in R, reproducible example

The code given below estimates a VEC model with 2 cointegrating vectors. It is a reproducible code, so just copy and paste into your R console (or script editor). ...
1
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0answers
19 views

what do metrics and indicatives mean in the finance context? Like trading of MBS products

it's often heard in my daily work as a programmer in an investment bank, supporting mortgage backed securities desks (passthrough, agency cmo, cmbs, etc). My take is that the terms describe the ...
1
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0answers
43 views

Distribution of AR and MA polynoms roots in ARMA/ARMA-GARCH models

I have another noob question. So, for example, I have ARMA(2,2) model: $$ x_{t} = \phi_{1}x_{t-1} + \phi_{2}x_{t-2} + e_{t} + \theta_{1} e_{t-1} + \theta_{2} e_{t-2}$$. So, I have 2 polynoms: $$1 - \...
2
votes
2answers
72 views

Monte Carlo Methods for Pricing Derivatives

can someone please suggest a good book on Monte Carlo Simulation for Pricing Derivatives? Don't want a book which is too complicated like a PhD level. A Masters level should be good. Thanks a lot in ...
2
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0answers
161 views

Finance Projects in Python [closed]

I am new to this forum. I work in the Market Risk Domain at a leading Investment Bank. I am currently learning Python. And the best way to learn is to experiment with some Real Live Analysis/Project(...
1
vote
0answers
22 views

How to enter to economics/finance sector [closed]

Although my question is a general question, I would appreciate your suggestions or help me to find a proper "stack exchange" in order to ask my question: I am a Ph.D student in (Pure)Mathematics and ...
4
votes
2answers
145 views

How to deal with negative ARCH terms?

Lately I have been trying to fit a GJR-GARCH(1,1) model to fit against the S&P 500 returns over 1985-2015 but I have ran into some problems I can't quite figure out. The GJR-GARCH(1,1) model I am ...
3
votes
2answers
90 views

ARMA-GARCH model, bset model selection and confidence levels calculations

I'm a newbie in GARCH models. I tried to realize ARMA(p, q)-GARCH(u, v) model via fGarch. So, 2 main questions. 1) Can I use BIC/AIC for selection best model for all (p, q)-(u, v) models? So, is it ...
4
votes
1answer
302 views

Does Matlab support exogenous variables in GARCH models?

Is it possible to introduce dummy variables or explanatory variables in the GARCH variance equation (garchset and garchfit) in ...
0
votes
2answers
57 views

Java platform/lib widely use in industry

I am currently switching from Java dev to quant and for my self-study I want to code a few auto-trading algorithms to get my hands on the subject. Are there any must know platforms/libs that I should ...
3
votes
1answer
95 views

limitation of contango and backwardation

What do you think would be the theoretic limit for a contango? What about backwardation? this was asked in a interview, still not so sure about the answer.
0
votes
1answer
29 views

Binomial Model, Number of nodes from $t = 0$ to $t = n$

How many paths are there in a binomial model from time $t = 0$ to time $t = n$? How many nodes (states) are there? Intutively it seems that there are $2^n$ paths and $2n - 1$ nodes. But I am not sure ...
0
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0answers
28 views

Market standards

Having a high quality pricing models is one of the main expectation of people working in finance, in fact the pricing models delivered should be proved to be accurate, following the latest market ...
0
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0answers
78 views

Risk-neutral probabilities

I will use this theorem 3.2 from the book "Quantitative modeling of Derivative Securities" by Marco Avellandea: Theorem 3.2 - Assume that there is no arbitrage, i.e. there exists a risk neutral ...
3
votes
3answers
158 views

Why Central Bank carry out Qe when they can directly force banks to lower down the interest rate?

To boost the economy, the central bank can do it either by lowering down the interest rate nor carry out QE. But QE objective is to lowered the interest rate also so banks can give out more loan. This ...
5
votes
2answers
1k views

Quantitative Finance Programming Language

Since couple of weeks, I started to do my research on quant finance. During this time, I could discover a lot of stuff and with that stuff, a lot of questions came to my mind. A lot of news or ...
4
votes
2answers
369 views

What are the main market anomalies/inefficiencies detected in quantitative finance?

I wondered about the existence of a complete list of the anomalies detected in quantitative finance. Generally, a market anomaly or inefficiency is a asset price and/or rate of return distortion on a ...
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2answers
2k views

Have Goldman Sachs Quantitative Strategies Research Notes been published as a book or a comprehensive collection?

Back in the 90's, Goldman Sachs (publicly?) released a series called "Quantitative Strategies Research Notes" — mostly technical papers on topic. Emanuel Derman co-authored almost all of them. Some ...
2
votes
1answer
101 views

Calculating short/long order percentages?

I have a feed in real time that lists the ask and bid orders. Each order consists of a value and a quantity. I want to calculate the percentage of short orders from the total orders in terms of ...
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3answers
393 views

Platform for Quantitative equity portfolio

What are the most popular platforms used for quantitative equity portfolio management/research? I've only used Barra so far for their factor models. Is there any specific feature or model you think ...
1
vote
0answers
138 views

Method to combine trading signals to achieve higher sharpe

There are a few thread with the question of methods to combine different trading signals/strategies. But is there any method that can ensure that by combining two signals, we can achieve a better ...
9
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3answers
5k views

Can the Hurst exponent be greater than one?

Can the Hurst exponent be greater than one? Does it mean that the time series follows a random walk or that it's not stationary?
3
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2answers
383 views

How to find the best fitting GARCH model for a portfolio composed of 3 ETFs in R?

I am doing a project for my class Financial Time Series in which I am trying to forecast my portfolio log returns using a GARCH fit. I am having a bit of trouble determining the best way to fit this ...
0
votes
2answers
161 views

Investment: Bond vs Equity

I was talking to a friend recently and he asked me the following question. If I have a device which perfectly (with 100% accuracy) predicts that both a bond (e.g. AAA rated government bond) and the ...
0
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2answers
1k views

Where can I find answers to questions in the book “Paul Wilmott Introduces Quantitative Finance”?

I'm currently answering the exercises at the back of every chapter of the book "Paul Wilmott Introduces Quantitative Finance" and would like to compare my answers to the correct ones. Tried looking ...
4
votes
1answer
2k views

Learn backtesting using MATLAB

What are some good ressources (books, articles, ...) to learn backtesting of investment strategies using MATLAB ? It can be strategies related to fixed-income, equities, derivatives, ... whatever. ...
1
vote
1answer
179 views

Median value for geometric brownian motion simulation

I'm trying to simulate stock prices using GBM. I am using the following formula, and MATLAB function, to determine the stock prices: $\nu = \mu - \frac{\sigma^{2}}{2}$; $S = S0*\text{[ones(1,nsims); ...
5
votes
1answer
1k views

Backtesting with fundamentals

Recently I've read some books about quantative approach to fundamental investing: - What works on Wall Street - James O'Shaughnessy - Quantitative Value - Wesley Gray, Tobias Carlisle - Quantitative ...
0
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2answers
280 views

Historical data resources for Indian market

What is the best source for historical EOD data for Indian stock market? The data from Yahoo finance for some companies is not up-to-date and Google finance doesn't provide adjusted close prices. What ...
9
votes
1answer
4k views

Popular R packages for Quantitative Finance

Which R packages (in this list or not) do you use in quant finance, why not an alternative, do you use it in production and if so, how? There is a list of most of the R packages related to Finance by ...
2
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0answers
53 views

Isn't a perfect economic system always in debt? [closed]

Let's say in a simple world, we have 3 persons, a banker, a businessman and a worker. Then we apply the current monetary system in this economy. So for the system to get started, we need a banker to ...
5
votes
1answer
277 views

Quant teams predicting the World Cup

It is a good tradition of the quant teams of the major banks to predict the World Cup. As an example see this new paper from Goldman Sachs: The World Cup and Economics 2014 (Brazil will win by the ...
1
vote
1answer
570 views

Stochastic Calculus in Quantitative analysis

I am an aspiring quant that would like to get a head start learning stochastic calculus, which books FROM EXPERIENCE are the most reader friendly?
-1
votes
1answer
951 views

Were can I find Historical Interest Rate Data?

Where can I find American historical Savings Account interest (Bank) rates? If you can, please attach corresponding links.
0
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0answers
45 views

Engle Granger test returns a 0 in matlab, while correlation factor is .80+. Am I doing something wrong?

Engle Granger test is giving me a ans = 0. The correlation factor is: 0.8+ Does this imply the No cointegration hypothesis is true? i.e. as per my understanding that there is cointegration? I am ...
4
votes
1answer
124 views

Linear-Boundary Crossing Problem for Brownian Motion

This is a question I came across while reading: $W = (W_t)_{t\geq{0}}$ is a standard BM. Let $\mu\in \mathbb{R}$, and let $\tau_{a}^{\mu}$ = $\inf(t>0;W_t = a + \mu{t})$ be the first passage time ...
1
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3answers
1k views

What are some of the best quantitative finance websites? [closed]

Not looking to start a debate. Just want to learn more about the field and am looking for some websites with high quality, informative content.
1
vote
1answer
181 views

A Question from “Mathematical Methods for Financial Markets” Chapter 2

Exercise 2.3.1.5: The payoff of a power option is $h(S_T)$, where the function h is given by $h(x) = x^\beta(x-K)^+$. Prove that the payoff can be written as the difference of European payoffs on the ...
0
votes
1answer
74 views

how to extract moments of GB from moment generating function?

I'm searching for the moments of geometric brownian motion using the gmm optimization program. the aim is to make the process y(t) of returns follows a normal distribution Are there any packages in ...
3
votes
1answer
5k views

Hurst Exponent Calculation

I am trying to calculate the Hurst Exponent using Excel. I am facing a problem where the exponent value sometime goes beyond 1. Can someone share a link / material so that it will help me to calculate ...
5
votes
2answers
2k views

How are momentum and reversion long/short strategies dynamically combined in trading?

I'm trying to understand how to combine two strategies dynamically in trading: one mean-reversion and the other momentum. One way (also the simplest one) of doing this is by scaling/normalizing ...
3
votes
1answer
2k views

C++ training from scratch to quantitative trading? [closed]

I have been trading for decades, and I have a solid knowledge of technical analysis but also VB as professional programmer. I would like to start learning C++ from scratch, then specialised in C++ ...
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3answers
3k views

At what point does someone using technical analysis become a Quant?

Sorry if the question sounds rough. It's not my intention to devaluate something I've not yet understood like Quantitative Finance. So to keep it simple: is Quantitative Finance a science, like ...
5
votes
1answer
702 views

Better understanding of the Datar Mathews Method - Real Option Pricing

in their paper "European Real Options: An intuitive algorithm for the Black and Scholes Formula" Datar and Mathews provide a proof in the appendix on page 50, which is not really clear to me. It's ...