Derivatives

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Derivatives

Coursera · Beginner ·🎮 Reinforcement Learning ·3mo ago

Key Takeaways

Explores tone combinations and scales in music within a biological framework

Original Description

This course covers standard derivative pricing models. Both discrete time and continuous time techniques are considered. The course also includes an introduction to numerical option pricing, in particular the Monte Carlo Method. After this course, students should have a good knowledge of financial markets, security pricing, arbitrage, interest rates, risk and return. Contents: 1) Definition and classification of financial assets 2) Discrete-time pricing models 3) Continuous-time pricing models 4) Fixed income products 5) Monte Carlo methods for derivative pricing
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
A Practical Guide to Implementing the REINFORCE Algorithm in Python (Part 5)
Implement the REINFORCE algorithm in Python using PyTorch and Gymnasium for reinforcement learning tasks
Medium · Machine Learning
📰
Gimitest: A Comprehensive Tool for Testing Reinforcement Learning Policies
Learn how to test reinforcement learning policies with Gimitest, a comprehensive tool for ensuring reliability and safety
ArXiv cs.AI
📰
RLVP: Penalize the Path, Reward the Outcome
Learn how to implement RLVP, a new reinforcement learning approach that prioritizes outcome over path, and apply it to real-world problems with costly interactions
ArXiv cs.AI
📰
Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy Distillation
Learn how Self-Review Reinforcement Learning (SRRL) improves learning from sparse feedback using cross-episode memory and policy distillation, and apply it to your own RL models
ArXiv cs.AI
Up next
Middle Management Meritocracy: Shockingly Naive
iBankerU
Watch →