# Research Library — Index

_209 curated papers across quant finance, risk, machine learning, AI, and quantitative Python. Free to browse at [gyreresearch.com/en/library](https://gyreresearch.com/en/library)._

This index is a machine-readable listing of every document currently in the library, grouped by document type. Each entry links to the in-browser viewer.

## Gyre Publications (7)

- **Asymmetric Beta in Long/Short Equity Strategies: Practical Applications for Hedge Fund Portfolio Management** — Gyre Research _[Quant Finance, Risk Management, Finance]_
- **Developmental Parallels: Childhood Cognitive Development as a Predictive Framework for LLM Advancement** — Scott Sykowski, Claudio Codigo _[AI, Machine Learning]_
- **Factor Exposure Drift: How Portfolio Risk Changes Between Rebalances and What to Do About It** — Gyre Research _[Quant Finance, Risk Management, Finance]_
- **Five AI Projects Every Small-to-Mid-Size Institutional Manager Should Deploy Now** — Gyre Research _[AI, Quant Finance, Risk Management]_
- **Five Performance Reporting Gaps That Are Costing Investment Managers More Than They Think** — Gyre Research _[Finance, Risk Management]_
- **Specification-Driven Workflow for Claude Code** — Gyre Research _[AI, Software Engineering]_
- **The Hidden Cost of Manual Reconciliation: Why Investment Operations Teams Can't Scale Without Automation** — Gyre Research _[Finance, Risk Management]_

## Report (63)

- **2024 Fixed Income Outlook in One Word: Batman!** — Loop Capital _[Finance, Risk Management, Corporate Finance]_
- **2024 Regulations: How They Impact Your Compliance Training Programs** — BAI is Bank Administration Institute and BAI Center _[Corporate Finance, Risk Management, Finance]_
- **A Neural Network Approach to Understanding Implied Volatility Movements** — Jay Cao, Jacky Chen & John Hull _[Quant Finance, Risk Management, Machine Learning]_
- **A Supervisory Framework for Assessing Nature-Related Financial Risks: Identifying and Navigating Biodiversity Risks** — Riccardo Boffo, Hugh Miller, Juan Pavajeau Fuentes, Giulio Mazzone, Geraldine Ang _[Finance, Risk Management, Corporate Finance]_
- **Adam: A Method for Stochastic Optimization** — Diederik P. Kingma and Jimmy Ba _[AI, Machine Learning, Math]_
- **Addressing Infrastructure Funding and Retirement Security through Islamic Finance: Sukuk SeLFIES** — Mustafa Dereci, Mehmet Gerz, Arun S. Muralidhar _[Finance, Corporate Finance, Quant Finance]_
- **All about Barrier Options** — Author Unknown _[Risk Management, Finance]_
- **Artificial Intelligence And Machine Learning In Financial Services: Opportunities And Challenges In Anti-Money Laundering And Combatting The Financing Of Terrorism** — The Association Of The Bar Of The City Of New York _[Quant Finance, Machine Learning, Finance]_
- **Attention Is All You Need** — Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, Illia Polosukhin (Google Brain) _[AI, Machine Learning, Computer Science]_
- **Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift** — Sergey Ioffe and Christian Szegedy (Google) _[AI, Machine Learning, Statistics]_
- **BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding** — Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova (Google AI Language) _[AI, Machine Learning, Computer Science]_
- **Black, Merton, and Scholes: Their Central Contributions to Economics** — Darrell Duffie (Stanford GSB) _[Quant Finance, Finance]_
- **Capital Asset Prices With and Without Negative Holdings** — William F. Sharpe _[Quant Finance, Finance, Risk Management]_
- **Carbon Market Principles** — JP Morgan Chase & Co _[Corporate Finance, Risk Management, Finance]_
- **Constitutional AI: Harmlessness from AI Feedback** — Yuntao Bai et al. (Anthropic) _[AI, Machine Learning]_
- **CS229 Lecture Notes** — Andrew Ng & Tengyu Ma _[Machine Learning, Computer Science, Math]_
- **Custom Calculation Data Points** — Morningstar. _[Risk Management, Quant Finance, Finance]_
- **Deep Residual Learning for Image Recognition** — Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun (Microsoft Research) _[AI, Machine Learning, Computer Science]_
- **Dispersion Trading** — Marco Avellaneda _[Quant Finance, Finance, Risk Management]_
- **Dropout: A Simple Way to Prevent Neural Networks from Overfitting** — Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov (University of Toronto) _[AI, Machine Learning, Statistics]_
- **Efficient Exploration for LLMs** — Vikranth Dwaracherla,  Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy _[Machine Learning, AI, Quant Finance]_
- **ESG: From Process to Product** — George Serafeim _[Corporate Finance, Finance, Risk Management]_
- **Financial Statement Analysis with Large Language Models** — Alex G. Kim, Maximilian Muhn & Valeri V. Nikolaev _[Risk Management, Machine Learning, Corporate Finance]_
- **Finite Difference Methods (FDM)** — rearranging terms and ignoring higher-order terms, we can approximate the first derivative as: _[Math, Quant Finance, Computer Science]_
- **Fixed Income Quantitative Research** — Jeroen Kerkhof _[Quant Finance, Risk Management, Finance]_
- **Foundations of Machine learning - Lecture Notes** — Ajay Nagesh _[Machine Learning, Math, Computer Science]_
- **Foundations of Portfolio Theory (Nobel Lecture)** — Harry M. Markowitz _[Quant Finance, Finance, Risk Management]_
- **Fundamentals of Machine Learning** — Roozbeh Sanaei _[Machine Learning, Math, Computer Science]_
- **Generative Adversarial Nets** — Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio _[AI, Machine Learning, Statistics]_
- **Hedge fund industry deep dive** — Aurum _[Finance, Corporate Finance, Quant Finance]_
- **How ESG Issues Become Financially Material to Corporations and Their Investors** — David Freiberg, Jean Rogers, George Serafeim _[Corporate Finance, Finance, Risk Management]_
- **ImageNet Classification with Deep Convolutional Neural Networks** — Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton (University of Toronto) _[AI, Machine Learning, Computer Science]_
- **Interpolation Methods For Curve Construction** — Pat Hagan & Graeme West _[Quant Finance, Math, Finance]_
- **Language Models are Few-Shot Learners (GPT-3)** — Tom B. Brown et al. (OpenAI) _[AI, Machine Learning]_
- **LLaMA: Open and Efficient Foundation Language Models** — Hugo Touvron et al. (Meta AI) _[AI, Machine Learning]_
- **Mathematics for Inference and Machine Learning** — Marc Deisenroth & Stefanos Zafeiriou _[Statistics, Math, Machine Learning]_
- **Mergers and Acquisitions** — Alexander Roberts, William Wallace & Peter Moles _[Corporate Finance, Finance]_
- **Modern Portfolio Theory: Some Main Results** — Heinz H. Müller _[Quant Finance, Finance, Risk Management]_
- **Pairs Trading** — Author Unknown _[Quant Finance, Risk Management, Finance]_
- **Production of U.S. Rm-Rf, SMB, and HML in the Fama-French Data Library** — Eugene F. Fama & Kenneth R. French _[Finance, Risk Management, Corporate Finance]_
- **Quantitative Forecasting Models and Active Diversification for International Bonds** — Antti Ilmanen & Rafey Sayood _[Quant Finance, Finance, Risk Management]_
- **Reinforcement Learning for Corporate Bond Trading: A Sell Side Perspective** — Samuel Atkins, Ali Fathi & Sammy Assef _[Quant Finance, Risk Management, Finance]_
- **Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks** — Patrick Lewis et al. (Facebook AI Research) _[AI, Machine Learning]_
- **RoadMap Of Mathematics** — Hayder Zaeem _[Math, Data Visualization, Computer Science]_
- **Rossmann Sales Prediction Using Supervised Models** — Nikita Prasad _[Machine Learning, Risk Management, Quant Finance]_
- **Scaling Laws for Neural Language Models** — Jared Kaplan et al. (OpenAI) _[AI, Machine Learning, Statistics]_
- **SEC Reporting Obligations Under Section 13 and Section 16 of the Exchange Act** — Arthur L. Zwickel & Alicia M. Harrison. _[Corporate Finance, Finance, Risk Management]_
- **Step-by-Step Calibration of the Option Pricing & Rates Models** — Amit Kumar Jha _[Quant Finance, Risk Management, Finance]_
- **The 2023 State of Corporate ESG** — Thomson Reuters Institute _[Corporate Finance, Risk Management, Finance]_
- **The Capital Asset Pricing Model: Some Empirical Tests** — Fischer Black, Michael C. Jensen, and Myron Scholes _[Quant Finance, Finance, Risk Management]_
- **The Capital Asset Pricing Model: Theory and Evidence** — Eugene F. Fama and Kenneth R. French _[Quant Finance, Finance, Risk Management]_
- **The legal implications of Generative AI** — Donna Bartlett, Willem-Jan Cosemans, Matt Saunders, Till Contzen, Klaus Gresbrand, Maria-Alexandra
Papoutsi, Pietro Boccaccini, Peggy Anstett, Bruce Braude, Richard Reeve-Young _[AI, Machine Learning, Math]_
- **The Peter Lynch Playbook** — @mjbaldbard _[Finance, Quant Finance, Corporate Finance]_
- **The Pricing of Options and Corporate Liabilities** — Fischer Black and Myron Scholes _[Quant Finance, Finance]_
- **Time-weighted volatility** — Peter Jackel _[Risk Management, Quant Finance, Finance]_
- **Toolformer: Language Models Can Teach Themselves to Use Tools** — Timo Schick et al. (Meta AI) _[AI, Machine Learning]_
- **Topologies of Reasoning: Demystifying Chains, Trees, and Graphs of Thoughts** — Maciej Besta, Florim Memedi, Zhenyu Zhang, Robert Gerstenberger, Nils Blach, Piotr Nyczyk, Marcin Copik, Grzegorz Kwasniewski, Jurgen Muller, Lukas Gianinazzi, Ales Kubicek, Hubert Niewiadomski, Onur Mutlu,Torsten Hoefler _[AI, Machine Learning, Math]_
- **Training Compute-Optimal Large Language Models (Chinchilla)** — Jordan Hoffmann et al. (DeepMind) _[AI, Machine Learning, Statistics]_
- **Training Language Models to Follow Instructions with Human Feedback (InstructGPT)** — Long Ouyang et al. (OpenAI) _[AI, Machine Learning]_
- **Understanding and Managing Complexity Risk** — Eric Bonabeau _[Risk Management, Finance, Quant Finance]_
- **Understanding Treasury Futures** — Nicholas Johnson, John Kerpel & Jonathan Kronstein _[Finance, Quant Finance, Corporate Finance]_
- **Valuation of Cryptoassets: A Guide for Investment Professionals** — Urav Soni & Rhodri Preece _[Corporate Finance, Risk Management, Quant Finance]_
- **What is fintech?** — McKinsey & Company _[Corporate Finance, Finance, Quant Finance]_

## Book (90)

- **A Course in Python: The Core of the Language** — Roozbeh Hazrat _[Math, Computer Science, Python]_
- **A First Course in Monte Carlo Methods** — D. Sanz-Alonso & O. Al-Ghattas _[Quant Finance, Math, Statistics]_
- **Advanced Data Analytics Using Python** — Sayan Mukhopadhyay _[Python, Data Visualization, Machine Learning]_
- **Advancing into Analytics** — George Mount _[Data Visualization, SQL, Machine Learning]_
- **Agile Machine Learning: Effective Machine Learning Inspired by the Agile Manifesto** — Eric Carter & Matthew Hurst _[Machine Learning, AI, Math]_
- **An Introduction To Alternative Credit** — Alfonso Ricciardelli, Philip Clements, Trevor Castledine, Kathryn Saklatvala,Thibault Sandret, Stephan Connelly, David Preston, Nils Hertzner, Nikita Saygakov, Dave Skirzenski, Adil Hasan, Nick Cleary, Zack Ellison, Mike Dowdall _[Finance, Corporate Finance, Quant Finance]_
- **An Introduction To Statistical Learning with Applications in Python** — Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor _[Python, Machine Learning, Statistics]_
- **Applied Data Science** — Ian Langmore & Daniel Krasner _[Python, Data Visualization, Computer Science]_
- **Applied Machine Learning with Python** — Andrea Giussani _[Python, Machine Learning, Math]_
- **Artificial Intelligence Index Report 2024** — Ray Perrault & Jack Clark _[AI, Machine Learning, Statistics]_
- **Artificial Intelligence with Python** — Tutorials Point _[AI, Python, Machine Learning]_
- **Big Data and Artificial Intelligence in Digital Finance** — John Soldatos & Dimosthenis Kyriazis _[AI, Quant Finance, Machine Learning]_
- **Chief Risk Officers Outlook** — World Economic Forum _[Risk Management, Finance, Corporate Finance]_
- **Clean Architectures in Python** — Leonardo Giordani _[Software Engineering, Python, Data Visualization]_
- **correlation-vs-causation** — Author Unknown _[Risk Management, Statistics]_
- **Crypto Theses 2024** — messari.io _[Finance, Risk Management]_
- **Data Science from Scratch** — Steven Cooper _[Computer Science, Python, Statistics]_
- **Data Science: The Hard Parts. Techniques for Excelling at Data Science** — Daniel Vaughan _[Computer Science, Data Visualization, Math]_
- **Data-Driven Innovation in the Creative Industries** — Melissa Terras, Vikki Jones, Nicola Osborne & Chris Speed _[Data Visualization, Computer Science, Python]_
- **Database Design** — Adrienne Watt & Nelson Eng _[Software Engineering, SQL, Data Visualization]_
- **Deep Learning for Computer Vision with Python** — Adrian Rosebrock _[Machine Learning, Python, Computer Science]_
- **Deep Learning with Azure** — Mathew Salvaris, Danielle Dean, Wee Hyong Tok _[Machine Learning, SQL, AI]_
- **Deep Learning with PyTorch** — Eli Stevens, Luca Antiga, Thomas Viehmann _[Machine Learning, Math, Computer Science]_
- **Deep Neural Networks and Data for Automated Driving** — Tim Fingscheidt, Hanno Gottschalk & Sebastian Houben _[Machine Learning, AI, Computer Science]_
- **Dive into Deep Learning** — Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola _[Machine Learning, Math, Computer Science]_
- **Exercises in Machine Learning** — Michael U. Gutmann _[Machine Learning, Math, Computer Science]_
- **Financial Markets & Products for Quants: A Primer** — Amit Kumar Jha _[Quant Finance, Finance, Corporate Finance]_
- **Flexible Automation and Intelligent Manufacturing: The Human-Data- Technology Nexus** — Kyoung-Yun Kim, Leslie Monplaisir & Jeremy Rickli _[Machine Learning, AI, SQL]_
- **Foreign Exchange Training Manual** — Lehman Brothers Holdings, Inc. _[Finance, Quant Finance, Corporate Finance]_
- **Foundation Models for Natural Language Processing** — Gerhard Paaß & Sven Giesselbach _[AI, Machine Learning, Software Engineering]_
- **Fundamentals of Actuarial Mathematics** — S. David Promislow _[Math, Quant Finance, Finance]_
- **High Performance Python** — Micha Gorelick & Ian Ozsvald _[Python, Data Visualization, Software Engineering]_
- **International Financial Statement Analysis Workbook** — Thomas R. Robinson, Elaine Henry, Wendy L. Pirie & Michael A. Broihahn _[Corporate Finance, Finance, Quant Finance]_
- **Introduction to Bayesian Statistics** — Brendon J. Brewer _[Statistics, Risk Management, Quant Finance]_
- **Introduction to Probability for Data Science** — Stanley H.Chan _[Statistics, Computer Science, Quant Finance]_
- **Introduction to Scientific Programming with Python** — Joakim Sundnes _[Python, Computer Science, Statistics]_
- **Introduction to Statistical and Machine Learning Methods for Data Science** — Carlos Andre Reis Pinheiro & Mike Patetta _[Machine Learning, Statistics, Math]_
- **Kubernetes Patterns: Reusable Elements for Designing Cloud Native Applications** — Bilgin Ibryam & Roland Huß _[Software Engineering, Computer Science, Python]_
- **Large Language Models in Cybersecurity** — Andrei Kucharavy, Octave Plancherel, Valentin Mulder, Alain Mermoud & Vincent Lenders _[Machine Learning, Risk Management, Computer Science]_
- **Learn More Python 3 the Hard Way** — Zed A. Shaw _[Python, Math, Computer Science]_
- **Learn Python Programming Quickly** — Chris Ford _[Python, Data Visualization, Machine Learning]_
- **Learn SQL Fast** — D Armstrong _[SQL, Machine Learning, Data Visualization]_
- **Learn SQL Quickly** — Code Quickly _[SQL, Data Visualization, Machine Learning]_
- **Learning Node.js** — Stack Overflow Documentation _[Software Engineering, Machine Learning, SQL]_
- **Learning Pandas** — Stack Overflow Documentation _[Python, Data Visualization, Machine Learning]_
- **Learning Professional Python** — Usharani Bhimavarapu & Jude D. Hemanth _[Python, Math, Computer Science]_
- **Lecture 7: Value At Risk (VAR) Models** — Ken Abbott _[Risk Management, Quant Finance, Finance]_
- **Lecture Notes On Artificial Intelligence** — Prashanta Kumar Patra _[AI, Machine Learning, Computer Science]_
- **Let Us Python Solutions** — Yashavant Kanetkar & Aditya Kanetkar _[Python, Data Visualization, Math]_
- **Machine Learning in Finance** — Matthew F. Dixon, Igor Halperin, Paul Bilokon _[Quant Finance, Machine Learning, Finance]_
- **Machine Learning in Python For Everyone** — Jonathan Wayna Korn _[Machine Learning, Python, Data Visualization]_
- **Machine Learning with Python** — Tutorials Point _[Machine Learning, Python, Computer Science]_
- **Mastering Pandas: Advanced Pandas For Finance** — Hayden Van Der Post _[Python, Quant Finance, Finance]_
- **Mathematics For Machine Learning** — Marc Peter Deisenroth, A. Aldo Faisal & Cheng Soon Ong _[Math, Machine Learning, Quant Finance]_
- **MIDDLE EAST CAPITAL MARKETS CHALLENGES AND OPPORTUNITIES** — Bogdan Bilaus & Luis Garcia-Feijòo _[Finance, Corporate Finance, Quant Finance]_
- **Odds & Ends** — Jonathan Weisberg _[Risk Management, Finance]_
- **Open Banking APIs Worldwide** — Alice Prahmann, Franziska Zangl, Oliver Dlugosch, Stefanie Milcke _[Software Engineering, Finance]_
- **Papers on Topology** — Henri Poincaré _[Math, Computer Science, Data Visualization]_
- **Pattern Recognition and Machine Learning** — Christopher M. Bishop _[Machine Learning, Computer Science, Statistics]_
- **Pro Git** — Scott Chacon _[Software Engineering, Computer Science, Math]_
- **Python 200 Things Every Beginner Should Know** — Author Unknown _[Python, Computer Science, Math]_
- **Python Automation Cookbook** — Jaime Buelta _[Python, Machine Learning, Data Visualization]_
- **Python By Example** — Nichola Lacey _[Python, Data Visualization, Machine Learning]_
- **Python Essentials 1** — The OpenEDG Python Institute _[Python, Data Visualization, Math]_
- **Python Fast/Deep/Simple** — Behnam Khani _[Python, Data Visualization, Machine Learning]_
- **Python for Excel** — Felix Zumstein _[Python, Data Visualization, SQL]_
- **Python for Science and Engineering** — Hans-Petter Halvorsen _[Python, Math, Computer Science]_
- **Python In easy steps** — Mike McGrath _[Python, Data Visualization, Machine Learning]_
- **Python in Excel** — Hayden Van Der Post _[Python, Data Visualization, SQL]_
- **Python Machine Learning: A Beginner's Guide to Scikit-Learn** — Rajender Kumar _[Machine Learning, Python, Statistics]_
- **Python makes programming fun!** — Mike McGrath _[Python, Math, Data Visualization]_
- **Python Mastery** — Chloe Annable _[Python, Math, Data Visualization]_
- **Python Pandas Tutorial For Beginners : The Ultimate Guide For Beginners** — Kavi & Shila _[Python, Data Visualization, Machine Learning]_
- **Python Programming** — Dylan Penny _[Python, Computer Science, Math]_
- **Python Programming Essentials** — Ankit Pandey _[Python, Data Visualization, Machine Learning]_
- **Python Tkinter** — Vaishali B. Bhagat _[Python, Data Visualization, Software Engineering]_
- **Python Tutorial (Codes)** — Mustafa Germec _[Python, Computer Science, Math]_
- **Repomanual** — Lehman Brothers Holdings INC. _[misc]_
- **Representation Learning for Natural Language Processing** — Zhiyuan Liu, Yankai Lin & Maosong Sun _[AI, Machine Learning, Data Visualization]_
- **STAT0029 Statistical Design Of Investigations** — Department of Statistical Science
University College London _[Statistics, Risk Management, Software Engineering]_
- **Statistical Analysis Handbook** — Michael J de Smith _[Statistics, Data Visualization, Risk Management]_
- **Storytelling with data** — Cole Nussbaumer Knaflic _[Data Visualization, Python, Statistics]_
- **The Analytics Setup Guidebook** — Huy Nguyen, Ha Pham, Cedric Chin _[SQL, Data Visualization, Math]_
- **The Hundred-Page Machine Learning Book** — Andriy Burkov _[Machine Learning, Math, Computer Science]_
- **The Python Handbook** — Flavio Copes _[Python, Computer Science, Math]_
- **Think Python** — Allen B. Downey _[Python, Data Visualization, Math]_
- **Think Stats** — Allen B. Downey _[Statistics, Python, Data Visualization]_
- **Unlocking Artificial Intelligence** — Christopher Mutschler, Christian Münzenmayer, Norman Uhlmann & Alexander Martin _[AI, Machine Learning, Math]_
- **Valuation Handbook-International Guide To Cost Of Capital** — James P. Harrington, Carla S. Nunes, Anas Aboulamer, Roger J. Grabowski _[Corporate Finance, Risk Management, Finance]_
- **Vector Calculus** — Michael Corral _[Math, Quant Finance, Data Visualization]_

## Guide (13)

- **A guide to infrastructure hardening** — Canonical Limited _[Software Engineering, SQL, Computer Science]_
- **Artificial Intelligence/ Machine Learning Explained** — Steve Blank _[Machine Learning, AI, Statistics]_
- **Calculating U.S. Treasury Futures Conversion Factors** — CME Group _[Quant Finance, Finance, Corporate Finance]_
- **Comprehensive Guide to Volatility Models in Option Pricing** — Amit Kumar Jha _[Quant Finance, Risk Management, Finance]_
- **Cryptoassets & Blockchain** — Richard B. Levin, Kevin Tran & Robert Wenner _[Finance, Corporate Finance, Risk Management]_
- **Examination Priorities** — U.S. Securities And Exchange Commission _[Risk Management, Finance]_
- **Financial Ratios Definitive Guide** — Scott Powell, Duncan McKeen, Jeff Schmidt _[Corporate Finance, Finance, Quant Finance]_
- **Fundamental Equity Analysis: A Primer** — David Nincic _[Corporate Finance, Finance, Quant Finance]_
- **MATH-TWS: a package to connect Mathematica to Interactive Brokers Trader Workstation** — ALGORITHMIC EXECUTION LLC. _[Math, Quant Finance, Data Visualization]_
- **ML Cheatsheet Documentation** — Author Unknown _[Data Visualization, Math, SQL]_
- **Model Management Guidance** — Central Bank of the U.A.E. _[Software Engineering, Quant Finance, Risk Management]_
- **Python 500 Practice Exams Questions & Answers With Explanation** — Author Unknown _[Python, Software Engineering, Data Visualization]_
- **Python Machine Learning Workbook for Begginers** — AI Publishing _[Python, Machine Learning, Data Visualization]_

## Slides (24)

- **Calculating Beta for unlisted firms** — FinShiksha _[Corporate Finance, Risk Management, Quant Finance]_
- **Crypto Market Roundup** — ETC Group _[Finance, Risk Management]_
- **Discounted Cash Flow Valuation** — Aswath Damodaran _[Corporate Finance, Risk Management, Quant Finance]_
- **FINTECH, DATA & ANALYTICS: Mergers & Acquisitions And Valuation Trends In The Public And Private Markets** — D.A Davindson _[Corporate Finance, Finance, Risk Management]_
- **Fixed Income Fundamentals (with Python)** — Alexandre Landi _[Finance, Quant Finance, Corporate Finance]_
- **Hedge Fund Research Report 2021** — SigTech _[Quant Finance, Finance, Risk Management]_
- **Hull White Model for Stochastic Interest Rate Modeling** — Mehul Mehta _[Quant Finance, Risk Management, Finance]_
- **Interest Rate and Credit Models** — Andrew Lesniewski _[Quant Finance, Finance, Risk Management]_
- **Introduction To Corporate Finance** — Author Unknown _[Corporate Finance, Finance, Quant Finance]_
- **Introduction to Statistical Concepts** — William Astle _[Statistics, Risk Management, Data Visualization]_
- **Investor & Analyst Day 2024** — Enfusion _[Finance, Corporate Finance, Quant Finance]_
- **Learning Algorithms and Market Manipulation** — Álvaro Cartea _[Quant Finance, Machine Learning, Risk Management]_
- **Lecture 2: Prediction** — Alexandra Chouldechova _[Statistics, Machine Learning, Risk Management]_
- **Low Latency Interest Rate Markets** — Nicholas Burgess _[Finance, Risk Management]_
- **Monte Carlo methods Introduction, Course structure, Motivating Examples, Applications** — A. Taylan Cemgil _[Math, Quant Finance, Statistics]_
- **Principal Component Analysis for IFRS9 Forward-Looking Modeling** — Andrija Djurovic _[Risk Management, Corporate Finance, Quant Finance]_
- **Quanto CDS** — Peter Jäckel _[misc]_
- **Special Note Long/Short US Portfolio** — Damien Cleusix _[Finance, Risk Management]_
- **State of finance** — Avalara _[Corporate Finance, Finance, Quant Finance]_
- **The CEO Macro Briefing Book** — Paul Hsiao & Jason Draho _[Finance, Corporate Finance, Quant Finance]_
- **The Evolution of Pairs Trading** — Author Unknown _[Quant Finance, Risk Management, Finance]_
- **Time Series Analysis** — Andrew Lesniewski _[Data Visualization, Risk Management, Python]_
- **Validation of Credit Risk Models** — Andrija Djurovic _[Risk Management, Quant Finance, Finance]_
- **Valuation** — Aswath Damodaran _[Corporate Finance, Risk Management, Quant Finance]_

## Notes (12)

- **Algorithms Python** — Yang Hu _[Python, Computer Science, Machine Learning]_
- **Applying Factor Models in Pairs Trading** — Author Unknown _[Risk Management, Quant Finance, Finance]_
- **Brownian Motion: The Foundation** — Author Unknown _[Math, Quant Finance, Statistics]_
- **Implementing Bermudan Swaption using QuantLib and Stochastic Models (Hull-White, Black- Karasinski and G2++) for Calibration in Python** — Aaron de la Rosa _[Quant Finance, Risk Management, Finance]_
- **Machine Learning in Python** — Iliya Valchanov & Ivan Manov _[Machine Learning, Python, Math]_
- **Multilevel Monte Carlo Simulation
Using Terminal Stratification** — Yuquan Li _[Risk Management, Quant Finance, Statistics]_
- **Multivariate GARCH (MGARCH) under Dynamic Conditional Correlation (DCC) specification in Python.** — Aaron de la Rosa _[Finance, Data Visualization, Risk Management]_
- **Object Oriented Programming** — Arun Arunisto _[Computer Science, Math, Software Engineering]_
- **Pricing Commodity Options Using Monte Carlo Simulation with Python** — Nikita Lavrentyev _[Quant Finance, Python, Risk Management]_
- **Risk-Neutral Pricing: An Intuitive Approach** — Pablo Marchesi _[Risk Management, Finance, Quant Finance]_
- **Simple Devops Projects** — Author Unknown _[Software Engineering, Data Visualization, SQL]_
- **Volatility & Greeks: Nvidia Option** — Author Unknown _[Quant Finance, Risk Management, Finance]_