Financial Theory (ECON 251) Our understanding of the economy will be more tangible and vivid if we can in principle explain all the economic decisions of every agent in the economy. This lecture demonstrates, with two examples, how the theory lets us calculate equilibrium prices and all
From playlist Financial Theory with John Geanakoplos
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
2. Utilities, Endowments, and Equilibrium
Financial Theory (ECON 251) This lecture explains what an economic model is, and why it allows for counterfactual reasoning and often yields paradoxical conclusions. Typically, equilibrium is defined as the solution to a system of simultaneous equations. The most important economic mode
From playlist Financial Theory with John Geanakoplos
Introduction to Econometrics Toolbox in MATLAB
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Create a predictive time-series model of a stock index. For more videos, visit http://www.mathworks.com/products/econometrics/examples.html
From playlist Computational Finance
7. Behavioral Finance: The Role of Psychology
Financial Markets (ECON 252) Behavioral Finance is a relatively recent revolution in finance that applies insights from all of the social sciences to finance. New decision-making models incorporate psychology and sociology, among other disciplines, to explain economic and financial phen
From playlist Financial Markets (2008) with Robert Shiller
Mod-07 Lec-18 Financial Statements Analysis - Dabur India Case
Managerial Accounting by Dr. Varadraj Bapat,Department of Management,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Bombay: Managerial Accounting | CosmoLearning.org Accounting
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)
2012 FRM Quantitative Analysis T2.a
This is a sample of our 2012 FRM Quantitative Analysis T2.a video tutorials. View our products here: https://www.bionicturtle.com/products/financial-risk-management/ The Bionic Turtle program is the most effective and affordable preparation aid for the Financial Risk Manager (FRM) exam.
From playlist FRM
Financial Option Theory with Mathematica -- Volatility, and direct solution of PDEs
This is my third session of my track about Financial Option Theory with Mathematica. I first develop two methods to compute historical volatility of a stock. Next I do the same for an estimate of the historical appreciation rate. I then come to the very important topic of the implied volat
From playlist Financial Options Theory with Mathematica
Macroeconomic impacts of stranded fossil fuel assets - Mercure - Workshop 3 - CEB T3 2019
Mercure (University of Exeter) / 05.12.2019 Macroeconomic impacts of stranded fossil fuel assets ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriPoincare/ Twitter :
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
Sylvia Frühwirth-Schnatter: Bayesian econometrics in the Big Data Era
Abstract: Data mining methods based on finite mixture models are quite common in many areas of applied science, such as marketing, to segment data and to identify subgroups with specific features. Recent work shows that these methods are also useful in micro econometrics to analyze the beh
From playlist Probability and Statistics
Level 1 Chartered Financial Analyst (CFA ®): Sampling and Estimation
In this video, I'm looking forward to sharing highlights with you from the CFA section, sampling and estimation. Sampling and estimation in statistics are theoretically essential and foundational, but in actual practice, it's very important. This is the practice of using samples to draw in
From playlist Level 1 Chartered Financial Analyst (CFA ®) Volume 1
Data Science - Part XVI - Fourier Analysis
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of the Fourier Analysis and the Fourier Transform as applied in Machine Learnin
From playlist Data Science
FRM Part 1 Focus Review: 2nd of 8 (Quantitative)
This is a sample of our 2012 FRM Part 1 Focus Review: 2nd of 8 (Quantitative) video tutorial. For more financial risk management videos, visit our website! http://www.bionicturtle.com
From playlist FRM
MIT 14.04 Intermediate Microeconomic Theory, Fall 2020 Instructor: Prof. Robert Townsend View the complete course: https://ocw.mit.edu/courses/14-04-intermediate-microeconomic-theory-fall-2020/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63wnrKge9vllow3Y2OOOKqF Prof
From playlist MIT 14.04 Intermediate Microeconomic Theory, Fall 2020
AIUK: Machine learning for finance
From the algorithms responsible for credit decision making to the intuitive technology protecting us from fraud – some of the earliest adoption of AI-driven processes have come from the financial and economic sector. Today, it continues to be a main driver for opportunity in the financial
From playlist AIUK 2021
Professor Mike West: Structured Dynamic Graphical Models & Scaling Multivariate Time Series
The Turing Lectures - Professor Mike West: Structured Dynamic Graphical Models & Scaling Multivariate Time Series. Click the below timestamps to navigate the video. 00:00:12 Welcome & Introduction by Doctor Ioanna Manolopoulou 00:01:19 Professor Mike West: Structured Dynamic
From playlist Turing Lectures
What's the difference between Microeconomics and Macroeconomics? "Episode 4: Micro vs Macro" by Dr. Mary J. McGlasson is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
From playlist Microeconomics modules
Applied Machine Learning: Introduction
Professor Jann Spiess presents an introduction to applied machine learning.
From playlist Machine Learning & Causal Inference: A Short Course