In finance, statistical arbitrage (often abbreviated as Stat Arb or StatArb) is a class of short-term financial trading strategies that employ mean reversion models involving broadly diversified portfolios of securities (hundreds to thousands) held for short periods of time (generally seconds to days). These strategies are supported by substantial mathematical, computational, and trading platforms. (Wikipedia).
Monique Jeanblanc: Arbitrages in a progressive enlargement of filtration
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Probability and Statistics
Merger Arbitrage Hedge Fund Strategy ― How Does it Work?
#mergerarbitrage #hedgefunds #trading #riskarbitrage Merger Arbitrage is an absolute return hedge fund trading strategy that aims to profit from predictable moves in stock prices that occur once a merger deal has been announced. 2020 has not been a great period for this strategy as a numbe
From playlist Corporate Finance
Make Money Betting on Politics - Arbitrage with Predictit
Step-by-step tutorial to find and profit from arbitrage opportunities on Predictit. Predictit is market with unique attributes that makes it the perfect place for arbitrage: it is closed to big players like banks and hedge funds, and it lets you bet on political outcomes. - PredictIt arb
From playlist Finance, Probability, and Other Stuff
Volatility Arbitrage - How does it work? - Options Trading Lessons
What is Volatility Arbitrage? Volatility arbitrage is a trading strategy that attempts to profit from the difference between the forecasted price-volatility of an asset, like a stock, and the implied volatility of options on that asset. These classes are all based on the book Trading and
From playlist Class 4 The Greeks & Dynamic Hedging
(PP 6.1) Multivariate Gaussian - definition
Introduction to the multivariate Gaussian (or multivariate Normal) distribution.
From playlist Probability Theory
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
Time Series Talk : Autoregressive Model
Gentle intro to the AR model in Time Series Forecasting My Patreon : https://www.patreon.com/user?u=49277905
From playlist Time Series Analysis
Applied Portfolio Management | Hedge Funds (Part 2) How Hedge Funds Invest | Trading Strategies
All slides are available on my Patreon page: https://www.patreon.com/PatrickBoyleOnFinance Applied Portfolio Management - How Hedge Funds Invest. Part Two In yesterdays class we learned what a hedge fund is, why people invest in them, and how hedge funds and other alternative investments
From playlist Applied Portfolio Management
Risk Management of Option Books with Arbitrage-Free Neural-SDE Market Models (SIAM FME)
SIAM Activity Group on FME Virtual Talk Series Join us for a series of online talks on topics related to mathematical finance and engineering and running every two weeks until further notice. The series is organized by the SIAM Activity Group on Financial Mathematics and Engineering. Spe
From playlist SIAM Activity Group on FME Virtual Talk Series
Overview of logistic regression, a statistical classification technique.
From playlist Machine Learning
A conversation between Nassim Nicholas Taleb and Stephen Wolfram at the Wolfram Summer School 2021
Stephen Wolfram plays the role of Salonnière in this new, on-going series of intellectual explorations with special guests. Watch all of the conversations here: https://wolfr.am/youtube-sw-conversations Follow us on our official social media channels. Twitter: https://twitter.com/Wolfra
From playlist Conversations with Special Guests
Math 176. Math of Finance. Lecture 01.
UCI Math 176: Math of Finance (Fall 2014) Lec 01. Math of Finance View the complete course: http://ocw.uci.edu/courses/math_176_math_of_finance.html Instructor: Donald Saari, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu
From playlist Math 176: Math of Finance
Prof. Frank Riedel - Frank Knight, the Economics of Uncertainty, and 21st Century Finance
A workshop to commemorate the centenary of publication of Frank Knight’s "Risk, Uncertainty, and Profit" and John Maynard Keynes’ “A Treatise on Probability” This workshop is organised by the University of Oxford and supported by The Alan Turing Institute. For further details and regular
From playlist Uncertainty and Risk
Applied Portfolio Management - Class 7 - Hedge Fund Strategies - How Hedge Funds Invest
All slides are available on my Patreon page: https://www.patreon.com/PatrickBoyleOnFinance Applied Portfolio Management - How Hedge Funds Invest. In todays class we learn what a hedge fund is, we learn why people invest in them, and how hedge funds and other alternative investments might
From playlist Applied Portfolio Management
Daniel Balint: Discounting invariant FTAP for large financial markets
Abstract: For large financial markets as introduced in Kramkov and Kabanov 94, there are several existing absence-of-arbitrage conditions in the literature. They all have in common that they depend in a crucial way on the discounting factor. We introduce a new concept, generalizing NAA1 (K
From playlist Probability and Statistics
Ses 12: Options III & Risk and Return I
MIT 15.401 Finance Theory I, Fall 2008 View the complete course: http://ocw.mit.edu/15-401F08 Instructor: Andrew Lo License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 15.401 Finance Theory I, Fall 2008
The Most Powerful Tool Based Entirely On Randomness
We see the effects of randomness all around us on a day to day basis. In this video we’ll be discussing a couple of different techniques that scientists use to understand randomness, as well as how we can harness its power. Basically, we'll study the mathematics of randomness. The branch
From playlist Classical Physics by Parth G
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics