Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Trading Strategies: Measuring Market Dynamics
Graph Chatbot
Related lectures (32)
Factor Models in Finance
Explores factor models in finance, covering mean-variance portfolios, size and value anomalies, and momentum strategies.
Neural Networks: Training and Activation
Explores neural networks, activation functions, backpropagation, and PyTorch implementation.
Factor Models in Finance
Covers factor models, portfolio choice, anomalies, and mutual fund performance analysis.
Asset Pricing and Hedging in Complete Markets
Covers asset pricing, hedging, American claims, stopping times, and dynamic programming in finance.
Artificial Intelligence in Finance
Explores the applications of artificial intelligence in finance, featuring talks and showcases.
Efficient Markets: Anomalies and Arbitrage
Covers market efficiency, anomalies, EMH, behavioral finance, and portfolio construction based on size and value factors.
Price Signals in Algorithmic Trading
Explores the use of machine learning in algorithmic trading to optimize price signals and minimize slippage in futures markets.
Investments: Portfolio Selection and Asset Pricing
Covers portfolio selection, asset pricing, market efficiency, and risk management in investments.
Flash Crash Systemic Event
Explores the flash crash as a systemic event, discussing its propagation and regulatory implications.
High Frequency Trading: Optimal Behavior Analysis
Explores optimal trading behavior in high frequency trading and its impact on market dynamics.
Portfolio Theory: Risk Parity Strategy
Explores Portfolio Theory with a focus on the Risk Parity Strategy, discussing asset allocation proportional to the inverse of volatility and comparing different diversified portfolios.
Quantitative Risk Management: VaR and ES
Covers Value at Risk (VaR) and Expected Shortfall (ES) in risk management, including backtesting and multivariate distributions.
Deep Learning Building Blocks: Linear Layers
Explains the fundamental building blocks of deep learning, focusing on linear layers and activation functions.
Market Liquidity: Equilibrium Prices and Portfolio Choice
Log in to Mediaspace to watch this video
Explores mutual fund performance, market liquidity, and optimal portfolio choice with transaction costs.
Investment Strategies and Risk Analysis
Log in to Mediaspace to watch this video
Explores various investment strategies, risk analysis, and valuation under uncertainty in financial markets.
Introduction to Finance: Risk and Return
Log in to Mediaspace to watch this video
Delves into finance, emphasizing risk and return in investments, covering free cash flow, dividends, NPV, EBIT, and portfolio analysis.
Introduction to Data Science
Log in to Mediaspace to watch this video
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Efficient Market Hypothesis: Evidence and Event Studies
Log in to Mediaspace to watch this video
Explores evidence against EMH, event studies, abnormal return methodology, and mutual fund performance.
Deep Learning Fundamentals
Log in to Mediaspace to watch this video
Introduces deep learning fundamentals, covering data representations, neural networks, and convolutional neural networks.
Deep Learning: Data Representations and Neural Networks
Log in to Mediaspace to watch this video
Covers data representations, Bag of Words, histograms, data pre-processing, and neural networks.
Previous
Page 1 of 2
Next