Monads: Concepts and Applications

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Related lectures (32)

Page 3 of 4

Binomial Pricing and Replication

Explores binomial pricing, replication of payoffs, and interpretation of prices in a risk-neutral world.

Loops: Control Statements and Functions

Covers modeling control statements with functions in Scala, including while loops, repeat loops, and for-loops translation.

Python Programming: List Comprehensions and Higher Order Functions

Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.

Black-Scholes-Merton Model

Covers the Black-Scholes-Merton model, stock dynamics, option pricing, and replicating strategies.

Programming Paradigms: Functional, OOP, Polymorphism

Explores programming paradigms like procedural, functional, and OOP, with examples in Python.

Introduction to Derivatives

Introduces the history and concepts of derivatives, including forward contracts, options, and their use in hedging and speculation.

Applications: Markov Models and Pricing

Explores applications of Markov models in finance, focusing on pricing derivatives and risk-neutralization.

Contextual Abstraction

Explores contextual abstraction in software construction, discussing how functions and classes can be written without detailed knowledge of the context in which they will be used.

Introduction to Derivatives

Covers the basics of derivatives, including hedging, leveraging, spreads, payoffs, and pricing models for underlying assets.

Functional Data Structures: Collections and Operations

Covers functional data structures and their relationships, implementations, and efficiency.