
Explore the distribution of long-term profits among US firms, examining statistical models and their implications for understanding economic dynamics and 'superstar' effects.

Explore option pricing methodologies, from classic bottom-up to innovative top-down approaches, analyzing their strengths and applications in financial markets.

Explore optimal execution strategies in financial markets, focusing on quadratic variation inventories and automated trading, with insights from Princeton researcher Laura Leal.

Explore a factor model for company valuation with Prof. Liuren Wu, covering topics like liquidity, evaluation factors, and value investing in this insightful finance lecture.

Explore financial derivatives, risk management, and regulatory impacts with expert Samim Ghamami in this insightful lecture on quantitative finance and economic modeling.

Explore commodity volatilities, correlations, and the Samuelson Effect in financial markets. Gain insights into seasonal commodities and modeling techniques for market dynamics.

Explore smart model risk management strategies, including identity tokens and usage tracking, to enhance financial modeling practices and regulatory compliance.

Dive into random planar geometry and the directed landscape, exploring universal scaling limits in random metrics and interface growth models with Duncan Dauvergne.

Comprehensive guide to Excel formulas, covering various types, editing modes, and practical applications through real-world models. Ideal for mastering advanced spreadsheet techniques.

Comprehensive tutorial on Excel lookup functions with 20 practical examples, covering VLOOKUP, HLOOKUP, INDEX, MATCH, and LOOKUP for data retrieval and analysis.

Comprehensive guide to conditional calculations in Excel, covering AND/OR functions, SUMIFS, array formulas, and more. Ideal for mastering complex data analysis techniques.

Learn essential financial forecasting and modeling techniques, including understanding financial statements, defining objectives, identifying key variables, and practical exercises for real-world application.

वित्तीय संस्थानों में जोखिम विश्लेषण और भविष्यवाणी के लिए पायथन का उपयोग सीखें। बाजार जोखिम, क्रेडिट जोखिम और धोखाधड़ी की रोकथाम पर ध्यान केंद्रित करें।

Explore o fascinante mundo da percolação e suas aplicações na física, com foco em conceitos fundamentais e fenômenos emergentes.

Изучите специфику оценки проектов в добывающей отрасли, включая ключевые факторы, методологии и практические аспекты для принятия обоснованных инвестиционных решений.

Explore geometrical web models with Jesper Jacobsen in this insightful conference talk from CIRM's Audiovisual Mathematics Library.

Explore loan portfolio risk modeling with advanced techniques, including risk classifiers, time-varying factors, and pool-level analysis for optimized decision-making in financial institutions.

Explores reduced-form market models with financial assets and life insurance liabilities under model uncertainty, focusing on mortality intensities and longevity bonds. Discusses arbitrage-free pricing and contingent claims in this framework.

Learn Python techniques for analyzing low-risk investments, including portfolio creation, risk assessment, ROI analysis, and stock sector diversification using data science libraries.

Explore advanced techniques in quantitative finance for pricing and hedging barrier-style claims, focusing on semi-parametric approaches and their applications in complex financial models.

Explore neural SDEs, deep learning, and stochastic control in finance, covering optimal transport, neural networks, calibration, and simulations with practical applications.