Efficiently Simulating Geometric Brownian Motion in R
For simulating stock prices, Geometric Brownian Motion (GBM) is the de-facto go-to model. It has some nice properties which are
Optimisation tools have a knack for seducing systematic traders. And what’s not to love? Find me the unique set of
One of the keys to running a successful systematic trading business is a relentless focus on high return-on-investment activities. High
To say we’re living through extraordinary times would be an understatement. We saw the best part of 40% wiped off
What is Vector Autoregression The vector autoregression (VAR) framework is common in econometrics for modelling correlated variables with bi-directional relationships
In the first three posts of this mini-series on pairs trading with Zorro and R, we: Implemented a Kalman filter
In the last two posts, we implemented a Kalman filter in R for calculating a dynamic hedge ratio, and presented
In our previous post, we looked into implementing a Kalman filter in R for calculating the hedge ratio in a
This Kalman Filter Example post is the first in a series where we deploy the Kalman Filter in pairs trading.
Chart patterns have long been a favourite of the technical analysis community. Triangles, flags, pennants, cups, heads and shoulders…. Name
As traders, we like to get waaaay ahead of ourselves in the race to understand and exploit the financial markets.