Python is a dynamically and strongly typed programming language whose design philosophy emphasizes code readability. Two significantly different versions of Python (2 and 3) are in use. Please mention the version that you are using when asking a question about Python.

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4
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1answer
195 views

Wrong discount factors when finding Nelson Siegel Svensson model parameters

I am trying to determine the parameters for the Nelson Siegel Svensson model and am solving a Non- Linear Optimization problem to do this. Some of the code I have written is below and this is where my ...
4
votes
1answer
487 views

Moving window forecasting in Python

I am looking to create some code that will out-of-sample forecast the HAR-RV model. The model itself is formulated as the following, and the betas are estimated through HAC-OLS or Newey-West. ...
2
votes
1answer
103 views

Quantlib FuturesRateHelper triggers not a valid IMM date error

I'm beginning to use QuantLib with Python SWIG, and trying to build a EUR yield curve. I face this error which frankly I don't understand; I looked at the code of bool IMM::isIMMdate in imm.cpp and ...
1
vote
1answer
105 views

quantlib python : missing methods?

I'm reading Introduction to Selected Classes of the QuantLib Library I by Dimitri Reiswich and tries to "convert" it to Python. It seems to me that some C++ possibilities aren't available in python. ...
0
votes
1answer
61 views

accuracy of Yahoo Finance stock data (Python module)

I am using the yahoo finance python module: https://pypi.python.org/pypi/yahoo-finance I am using it for a project and would like to see if anybody else uses data from this source and can vouch for ...
0
votes
1answer
205 views

Can I use PyAlgoTrade for Forex?

Is it possible to use PyAlgoTrade for Forex related algorithms? If it is, please point me in the right direction on how to get PyAlgoTrade to work on Forex data.
0
votes
1answer
1k views

estimate implied volatility using newton-raphson in python

I am trying to calculate the implied volatility using newton-raphson in python, but the value diverges instead of converge. What is wrong with the code? ...
4
votes
0answers
341 views

Rate Distortion Minimization in a Python Clustering Algorithm

I'm attempting to solve for $\hat{k}$ clusters, such that the rate distortion is minimized, as described here, however, the answers that I am getting from my algorithm are not following the "Jump" ...
3
votes
0answers
102 views

What is the best open source automated trading platform or options?

I would like a custom C++ Automated Trading Platform for Futures like Multicharts, or similar automated trading platform that I can put on my servers so its secure and fast. I have found this ...
2
votes
0answers
49 views

Black-Scholes explicit Euler implementation python

I've written some code for the explicit finite difference method to solve the BS equation. For certain sets of parameters (time-steps and asset-steps) I get a stable but wrong solution. For others, ...
2
votes
0answers
92 views

Problem with Naive Bootstrapping (US Government Bonds)

I am using the formula here to determine the discount factor function and eventually the zero-coupon yields. I get the data for Coupons, Face Values and Closing Prices from Thomson Reuters, which I ...
1
vote
0answers
54 views

How to fit exogenous + GARCH Model In Python?

I am studying a textbook of statistics / econometrics, using Python for my computational needs. I have encountered GARCH models and my understanding is that this is a commonly used model. In an ...
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vote
0answers
176 views

Formula behind pandas.Options() implied volatility

I noted that implied volatility (IV field) from pandas.Options class is very different (especially, for out of money options) than what I compute with Black-Scholes model. (risk free rate is pulled ...
1
vote
0answers
55 views

Issue with Naive Bootstrapping (US Government Bonds)

I am using the formula here to determine the discount factor function. I get the data for Coupons, Face Values and Closing Prices from Thomson Reuters, which I insert into the Dataframe ...
1
vote
0answers
98 views

bandwith portfolio rebalancing in python

I want to calculate a bandwith rebalancing machanism for a portfolio of two assets. As soon as the performance of one ov the assets gets bigger or smaller than the other one + a defined tolerance ...
1
vote
0answers
425 views

Implied volatility from American options using python

I am currently trying to construct volatility surface from american option prices (using Cox-Ross-Rubinstein tree) in Python 2.7. Below you can find the code I came up with. Any corrections would be ...
1
vote
0answers
235 views

How to implement the herding measure proposed by Lakonishok et. al (1992) in python

I would like to test for herding behaviour using the herding measure developed by Lakonishok et. al (1992) on a dataset containing trader transactions during 2013, however, i am having some trouble ...
1
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0answers
1k views

Black Scholes well coded Python

I have some trouble with the following code. Some jump and a decentered path are present but it's not the case, normally for Black Scholes diffusion ! Is anyone see a problem in my code ? ...
0
votes
0answers
48 views

First step of Black-Litterman portfolio

I tried to implement Black-Litterman model. I have a covariance matrix, market capitalization for each asset. I assume a risk aversion factor to be 10. First I use the following code to get ...
0
votes
0answers
29 views

Calculating returns when number of securities in a timeseries varies over time?

I have a timeseries of security returns in which the number of securities in the timeseries varies over time. More specifically, I have a universe of events where securities(their returns) are added ...
0
votes
0answers
92 views

QuantLib importing in Python

Since I am working with a thesis, QuantLib is a very new thing for me. I have installed and compiled QuantLib, including the QuantLib-SWIG. Everything was compiled and installed using the guidlines at ...
0
votes
0answers
106 views

Ideas for speeding up greek calculations

My current calculations using the vollib library averages 0.5 seconds. Is there any way to get it faster? Any tips/best practice notes will be helpful. This is for a scripting language such as ...
0
votes
0answers
20 views

Selling two uncorrelated OTM options lowers the over all probability of profit?

I am trying to simulate shorting two uncorrelated put options, I wrote a python program and used monte carlo method to simulate the PnL on expiration: gist It seems the probability of profit is ...