Blog Posts

Here we look at the foundational concepts in financial risk modeling. Financial risk modeling includes various methods and theories to quantify, model, and hedge against financial risks. The concepts listed are integral to risk management and investment analysis. Let’s look into each one: 1. Arbitrage Pricing Theory (APT) APT is an asset pricing model that […]

Risk-Adjusted Return on Capital (RAROC) is a financial metric used by banks, investment firms, and corporations to measure the return on investment adjusted for the risk taken. RAROC is a tool for evaluating the performance of an investment portfolio, a business unit, or an entire firm by considering both the returns it generates and the […]

The Hedging Irrelevance Proposition is a financial theory suggesting that hedging doesn’t have a direct effect on a firm’s value. The proposition assumes perfect markets and posits that investors can replicate any corporate hedging strategy at the same cost. Based on this argument, the company’s decision to hedge is irrelevant to its overall valuation.   […]

Crowding out occurs when government borrowing leads to higher interest rates, making it more expensive for the private sector to borrow and invest, potentially stifling economic growth. Conversely, crowding in happens when government spending catalyzes private investment – particularly when it enhances public infrastructure or stimulates demand that the private sector can meet. Effective public […]

When designing trading algorithms, selecting the right programming language is important. Consider execution speed, ease of development, library support, and community resources.   Key Takeaways – Best Programming Languages for Trading Algorithm Development Python: The Swiss Army knife of coding. Python is an all-rounder with rich libraries ideal for various financial algorithm needs. C++: C++ […]

Investment funds are mechanisms that allow multiple investors to pool their money together and invest it in a diversified portfolio of assets. These funds come mainly in two forms: open-ended, and close-ended Each type operates under a different set of rules and caters to various investor needs.   Key Takeaways – Open-Ended Fund vs. Close-Ended […]

Partial differential equations (PDEs) serve as the foundation for pricing complex derivatives and assessing risk. These equations enable the translation of financial theories and movements of market variables into mathematical language.   Key Takeaways – Partial Differential Equations in Finance PDEs, such as the Black-Scholes equation, are used for option pricing. Enables traders to calculate […]

In this overview, we look at a comprehensive range of terms and definitions for understanding the pricing of derivatives in finance. We cover various processes, concepts, and models.   Key Takeaways – Derivatives Pricing Derivative pricing involves models like Brownian motion and risk-neutral valuation to predict price movements and valuations, considering market risk and arbitrage […]

Here we look at some terms and definitions that form a broad, and reasonably complete, topical outline of mathematical tools in finance.   Key Takeaways – Mathematical Tools in Finance This overview highlights key mathematical tools in finance. Also included are optimization techniques, the Monte Carlo Method for numerical solutions, Real Analysis, and PDEs relevant […]

Theoretical finance forms the backbone of our understanding of how markets operate. It integrates mathematical models and economic theory to predict, explain, and understand the behaviors of financial markets. It includes a range of topics including asset pricing, risk management, market microstructure, and corporate finance.   Key Takeaways – Theoretical Finance Foundation of Market Understanding: […]