Mathematical finance

Quantitative analysis (finance)

Quantitative analysis is the use of mathematical and statistical methods in finance and investment management. Those working in the field are quantitative analysts (quants). Quants tend to specialize in specific areas which may include derivative structuring or pricing, risk management, algorithmic trading and investment management. The occupation is similar to those in industrial mathematics in other industries. The process usually consists of searching vast databases for patterns, such as correlations among liquid assets or price-movement patterns (trend following or mean reversion). The resulting strategies may involve high-frequency trading. Although the original quantitative analysts were "sell side quants" from market maker firms, concerned with derivatives pricing and risk management, the meaning of the term has expanded over time to include those individuals involved in almost any application of mathematical finance, including the buy side. Applied quantitative analysis is commonly associated with quantitative investment management which includes a variety of methods such as statistical arbitrage, algorithmic trading and electronic trading. Some of the larger investment managers using quantitative analysis include Renaissance Technologies, D. E. Shaw & Co., and AQR Capital Management. (Wikipedia).

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Math for Quantative Finance

In this video I answer a question I received from a viewer. They want to know about mathematics for quantitative finance. They are specifically concerned with math for real analysis and probability. Do you have any advice or opinions? If so, please leave a comment. Quantative Finance Bo

From playlist Inspiration and Advice

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Quantitative Analysis For Management | Quantitative Analysis Explained For Beginners | Simplilearn

This video on Quantitative Analysis for Management will acquaint you with all the essential details that you should know about quantitative business analysis. In this Quantitative Analysis Explained For Beginners tutorial, you will understand what quantitative analysis is. You'll also lear

From playlist Ful Stack Web Development 🔥[2023 Updated]

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Business Data Analysis with Excel

Business data presents a challenge for the data analyst. Business data is often aggregated, recorded over time, and tends to exhibit autocorrelation. Additionally, and most problematically, the amount of business data is usually quite limited. These characteristics lead to a situation wher

From playlist Data Analytics Tutorials

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The F ratio is a test of overall significance in a multivariate regression (FRM T2-20)

[here is my xls https://trtl.bz/2HC3OWN] The F ratio is given by (ESS/df)/(RSS/df) and can be used to test the significance of the overall regression; or the significance of the multiple R-squared. Discuss this video here in our forum: https://trtl.bz/2wcGpmS Subscribe here https://www.yo

From playlist Quantitative Analysis (FRM Topic 2)

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Volatility: standard deviation (FRM T2-21)

[Here is my xls at https://trtl.bz/2kOmHb6] The simple, common approach to estimating volatility is historical standard deviation. Here is a thread about the decision to include/exclude the mean return: https://trtl.bz/2kLRK7z. Discuss this video here in our forum: https://trtl.bz/2HMhjk2

From playlist Quantitative Analysis (FRM Topic 2)

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QRM L1-1: The Definition of Risk

Welcome to Quantitative Risk Management (QRM). In this first class, we define what risk if for us. We will discuss the basic characteristics of risk, underlining some important facts, like its subjectivity, and the impossibility of separating payoffs and probabilities. Understanding the d

From playlist Quantitative Risk Management

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Volatility: GARCH 1,1 (FRM T2-23)

[my xls is here https://trtl.bz/2t794bU] The GARCH(1,1) volatility estimate shares a similarity to EWMA volatility: both assign greater (lesser) weight to recent (distant) returns. But the GARCH(1,1) has an additional feature: it models a long-run (aka, unconditional) variance toward which

From playlist Quantitative Analysis (FRM Topic 2)

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MBA in Finance Full Details | Why MBA in Finance? | Jobs in MBA Finance | Simplilearn

This video on MBA in Finance: Full Details will aid you in understanding the intricate details about MBA in finance specialization. With this Why MBA in Finance? tutorial, you will learn why finance is the most sought-after MBA specialization. You will also delve over the details about Eli

From playlist Business And Management 🔥[2022 Updated]

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Quant Trading - A History

I have been a trader for over twenty years, and from the start of my hedge fund career working with Victor Niederhoffer I have taken a quantitative approach to researching and executing trading strategies. A quant trader is a trader that builds statistical models to test trading strategie

From playlist Top Ten Lists

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What is a Quant Trader? | Systematic Investing | What is a Quant Hedge Fund? | Trading Ideas

Todays video is all about quant trading or investing. I have been a quantitative trader for over twenty years, and one of the most frequent questions I get in the comments section of my videos is what does a quant trader or quant hedge fund investor actually do. In this video we will tal

From playlist Statistics For Traders

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Process Market Data and Analyze Crypto Market Microstructures with Python | PyChain 2022

This is a video recording of the PyChain 2022 conference sessions. Speaker: Zhibai Zhang - VolumeFi Using Python to process market data and analyze Crypto market microstructures Zhibai Zhang presents a method for constructing crypto market microstructure variables, a machine learning mo

From playlist PyChain 2022

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Level 1 Chartered Financial Analyst (CFA ®): Statistical concepts and Quantiles

Session 2, Reading 8 (Part 1): Statistics is broadly either descriptive (aka, exploratory data analysis, EDA) or inferential (e.g., making predictions or forecasts). There is generally only one defined population and descriptive measures of the population are called parameters (and denoted

From playlist Level 1 Chartered Financial Analyst (CFA ®) Volume 1

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What Is Inflation? | Inflation Explained In 1 Minute | Macroeconomics | #Shorts |Simplilearn

🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=WhatIsInflation?Shorts&utm_medium=ShortsDescription&utm_source=youtube This short video on 'What Is Inflation?' will equip you with the knowledge about th

From playlist #Shorts | #Simplilearn

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What Is Return On Investment? | ROI Explained For Dummies In 1 Minute | #Shorts | Simplilearn

🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=WhatIsReturnOnInvestmentShorts&utm_medium=ShortsDescription&utm_source=youtube This video on 'What Is Return On Investment?' will aid you in understanding

From playlist #Shorts | #Simplilearn

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Currency Depreciation And Appreciation Explained In 1 Minute | Macroeconomics | #Shorts |Simplilearn

🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=CurrencyDepreciationAndAppreciationExplainedIn1MinuteShorts&utm_medium=ShortsDescription&utm_source=youtube This short video on 'Currency Depreciation And

From playlist #Shorts | #Simplilearn

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Strata Jumpstart 2011: Cathy O'Neil, "What Kinds of People are Needed for Data Management?"

Cathy O'Neil (Intent Media), "What Kinds of People and Processes are Needed for Data Management and Analytics?"

From playlist Strata NY 2011

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Variance of a discrete random variable (FRM T2-5)

The variance is a key measure of dispersion, it is the expected value of the squared difference between each value and the mean. The population variance is the "true" variance, but realistically in most cases we have a sample (rather than a population) such that our unbiased estimate of th

From playlist Quantitative Analysis (FRM Topic 2)

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Ses 1: Introduction and Course Overview

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

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Sensitivity Analysis for Financial Models in Excel

If you like this video, drop a comment, give it a thumbs up and consider subscribing here: https://www.youtube.com/c/HowToBeAnAdult?sub_confirmation=1 Music from: YouTube Audio Library Check out our new project: https://magnimetrics.com The Online Platform for Automated Analysis Random

From playlist Excel Tutorials

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