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Introduction To Financial Modeling With Gen AI



Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 703.14 MB | Duration: 1h 29m

How to research financial data, build models, and validate assumptions and outputs with generative AI, such as ChatGPT.


What you'll learn
What are the common financial models, modeling processes and use cases
How generative AI can be used at every step of the modeling process (gathering data, establishing assumptions, building the model, and validating it)
The various types of models in various activities, such as for valuation, trading, insurance, lending/banking, and others
How generative AI changes the modeling process and accelerates/augments certain tasks
Requirements
Basic knowledge of finance and financial modeling helps, but is not required.
Basic knowledge of what generative AI is, including text generative AI such as ChatGPT, helps, but is not required.
Description
GENERATIVE AI IS CHANGING THE MODELING GAMEGenerative AI has revolutionized several industries. And financial modeling is no different.With the capability to summarize data, transform them and process them, validate assumptions, generate scenarios, apply formulas and templates instantly, and more, text generative AIs such as ChatGPT are changing the modeling landscape.This course will cover how to incorporate generative AI into your financial modeling pipeline, improving it for this new era.LET ME TELL YOU... EVERYTHING.Some people - including me - love to know what they're getting in a package.And by this, I mean, EVERYTHING that is in the package.So, here is a list of everything that this course covers:You'll learn about the basics of generative AI, including its capabilities, limitations, common models and technology used, and how it accelerates various tasks;You'll learn about the basics of financial modeling, including the general modeling process with four steps (gathering data, establishing assumptions/constraints, building the model, and validating it/using it);You'll learn about some common modeling use cases in finance, such as the Discounted Cash Flows analysis for valuation, regression for credit scoring, time series and machine learning for security price prediction, and actuarial/catastrophe models for insurance risk pricing, as well as the usual inputs and assumptions in general;You'll learn about the main types of financial models: mathematical (where we apply operations to the inputs given), statistical (where we calculate results based on causality, correlation, or other relationships among variables), simulations (where we stochastically simulate various scenarios and gauge variations in outputs due to these), and algorithmic/computational (where we execute a set of steps, in a programmatic manner), as well as how these are used for common use cases such as banking/lending, trading, fraud detection or insurance;You'll learn about the steps of the modeling process in depth, including what to take into account at each step (when gathering and preparing data, when establishing assumptions and constraints, when building the model itself, and when validating or using the model);You'll learn about ways in which gen AI can accelerate or augment each of the four main steps of the modeling process (extracting or transforming data when gathering data, double-checking and generating assumptions when establishing assumptions, applying formulas or making calculations when building the model, and validating outputs or generating various scenarios when validating or using the model);
Overview
Section 1: Course Intro
Lecture 1 Course Intro
Section 2: Fundamentals
Lecture 2 Module Intro
Lecture 3 Fundamentals of Generative AI
Lecture 4 Fundamentals of Financial Modeling
Lecture 5 Module Outro
Section 3: Modeling Overview
Lecture 6 Module Intro
Lecture 7 Common Use Cases
Lecture 8 Common Models
Lecture 9 The Modeling Process
Lecture 10 Gen AI in the Modeling Process
Lecture 11 Module Outro
Section 4: Course Outro
Lecture 12 Course Outro
Finance professionals looking to incorporate gen AI in their models and modeling procedures,Any professional that works with financial data and is looking to incorporate generative AI
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