The Chair of Financial Economics and Risk Management (C‑RAM) at the Karlsruhe Institute of Technology (KIT) provides in-depth tutorials and lectures about financial markets, quantitative finance, risk management, and more. Led by Prof. Maxim Ulrich, the group shares valuable educational content for both beginners and advanced learners.

Check out our  YouTube channel to dive right into the latest videos:
C‑RAM on YouTube

Discover a wide range of educational videos on finance, risk management, and quantitative methods on the C‑RAM YouTube channel.
We invite you to subscribe, explore the playlists, and engage with the community by leaving comments or questions.

Welcome to our comprehensive resource hub on finance, risk management, and quantitative analysis. Our content is curated and organized into specific playlists to cater to learners at different stages, from beginners to advanced practitioners. Whether you're looking to build a solid foundation, dive into complex models, leverage data science techniques, or explore specialized topics, you'll find a dedicated section designed for your needs:

1.1 Foundational Finance & Modeling

Begin your journey here with essential courses that cover the core building blocks of financial modeling. Explore introductory topics such as factor investing, ARCH‑GARCH modeling, and various portfolio management strategies. These foundational lessons are ideal for developing a strong grasp of financial concepts and risk management techniques.

• (old version) Factor Investing

• (old version) ARCH‑GARCH Modeling

• (old version) Machine Learning for Unknown Parameters

• (old version) ARMA(p, q) Modeling

• Mean‑Variance Portfolio Management

• Extending Mean‑Variance Portfolio Optimization

• CAPM and Linear Factor Models

1.2 Advanced Stochastic & Time Series

For those ready to tackle more sophisticated quantitative methods, this section focuses on advanced topics. Learn about intricate modeling techniques, including multivariate time series analysis, stochastic calculus, and forecasting methodologies. These topics are aimed at enhancing your understanding of how complex models are constructed and applied in real-world scenarios.

• ARCH‑GARCH Modeling

• ARMA(p, q) Modeling

• Multivariate Zeitreihenanalyse (Time Series Analysis in German)

• Stochastic Calculus: Basics

• Model-Free Forecasts of Variance

• Univariate Log-Normal Stochastic Vol Model

• Basics of Vol Forecasting

• Kalman Filter

1.3 Data Science & Programming

In this area, we bring together the worlds of finance and data analytics. Discover how to harness data science tools to analyze financial markets, perform Python-based analyses like the Euro Stoxx 50, and manage large datasets through principal component analysis. These lessons are perfect for anyone looking to integrate programming skills with financial decision-making.

• Financial Data Science

• Python Euro Stoxx 50 Analysis

• Managing Big Data with Principal Component Analysis

• Data‑Driven Investments

1.4 Specialized Lectures & Misc.

This section is your gateway to specialized, in-depth content. Here, we offer a range of updated lectures, interviews with industry experts, case studies, exam reviews, and even dedicated office hour sessions. Whether you're interested in dynamic asset pricing or exploring cutting-edge approaches in machine learning, these resources provide unique insights and practical applications.

• Dynamic Asset Pricing

• Factor Investing (newer or updated version)

• Machine Learning for Unknown Parameters (updated version)

• Students Insights (interviews or presentations by students)

• Exam C-RAM I: Feb 2018

• Exam C-RAM II: Feb 2018

• Digital Office Hour (DOH) Series

  • DOH_Valuation

  • DOH_ItoCalculus

Featured Video:

Check out our latest video on Factor Investing, where we explore how different factor models can enhance portfolio returns:

Watch on  YouTube
 

With these structured playlists, you can easily navigate through our extensive collection of educational content and find the topics that match your interests and level of expertise. Enjoy your learning journey!

  ↵

Stay connected and get the latest updates:

• YouTube: C‑RAM on YouTube

• Twitter (X): ∂KitCram

• Instagram: ∂cramkit

• Facebook: CRAM Karlsruhe

Thanks for exploring the C‑RAM resources!

• We encourage you to subscribe, follow, and share with anyone interested in learning more about quantitative finance and risk management.

• Don’t forget to leave your comments, questions, or suggestions for future topics.