Expanding Frontiers

kathrynj2

Alternative investments, frontier research, and the ideas reshaping both. Expanding Frontiers explores alternative investments and the frontier research reshaping how they're built, evaluated, and accessed. Each episode engages with academic papers, industry research, and emerging frameworks across hedge funds, private equity, private credit, real assets, structured products, digital assets, and the data science transforming investment management. Hosted by Kathryn Wilkens, PhD, CAIA, adjunct professor at Rutgers Business School's Master of Financial Analysis program and author of the graduate textbook Alternative Investments: Expanding Frontiers, the show is for practitioners, allocators, students, and curious investors who want substance over surface. New episodes weekly. Production note: Episodes are produced with the help of AI tools, including NotebookLM, for research synthesis and audio generation. All content is reviewed by the host for accuracy. This podcast is independent and not affiliated with any organization unless explicitly stated. Content is for educational purposes only and does not constitute financial, investment, legal, or professional advice.

  1. 21h ago

    Beyond the Buyout: Private Equity and the American System

    This episode discusses the profound impact of private equity on American society. It is based on a talk given at a Stanford Graduate School of Business event featuring journalist Megan Greenwell. She details how the industry’s leveraged buyout model often prioritizes short-term financial gains over the long-term health of essential sectors like healthcare, housing, and local media. Greenwell argues that the current system creates a divorce of incentives, allowing firms to profit even when their acquired companies face bankruptcy or liquidation. Throughout the discussion, she uses examples like Toys R Us and rural hospitals to illustrate the negative ripple effects on workers and local communities. While acknowledging that some small-scale deals can be beneficial, she advocates for structural reforms, such as requiring firms to share responsibility for the debt they impose on businesses. Ultimately, the source highlights a growing tension between traditional free-market capitalism and a finance-driven model that often leaves vulnerable populations at risk. References “Private Equity and the Future of American Capitalism” Corporations and Society Initiative (CASI) at Stanford Graduate School of Business, May 18, 2026. Available on YouTube: https://www.youtube.com/watch?v=kpyge0vaM6E Episode Note This episode draws on the sources listed above and incorporates AI-assisted research synthesis. All content has been reviewed and curated by the host. It is intended for educational purposes only and does not constitute investment or financial advice.

    20 min
  2. May 20

    Smart Contracts on Web 3.0

    This episode examines the technological infrastructure, diverse use cases, and inherent security challenges of blockchain-based smart contracts. The first text discussed focuses on the Chainlink Network, detailing how decentralized oracles solve the "oracle problem" by securely connecting on-chain code to real-world data for industries like banking, insurance, and gaming. In contrast, the academic literature review investigates the vulnerability landscape of the Ethereum ecosystem, providing a systematic taxonomy of nearly 200 security flaws. This research categorizes over 200 automated detection tools and benchmarks used to identify critical errors like reentrancy attacks and integer overflows. Together, the materials analyzed illustrate the transition of smart contracts from theoretical concepts to functional applications while highlighting the ongoing need for rigorous auditing and verification. The combined overview emphasizes that while hybrid smart contracts offer immense potential for global trade and finance, their success depends on bridging the gap between external data connectivity and robust programmatic security. References "77+ Smart Contract Use Cases Enabled by Chainlink" "A Blockchain-Based Smart Contract System for Healthcare Management" — University of Galway Research "Blockchain and Smart Contracts for Royalty Distribution" — Ranger Land and Minerals "Blockchain and smart contracts for supply chain transparency and vendor management" — Written by Praveen Kumar, Divya Choubey, Olamide Raimat Amosu, and Yewande Mariam Ogunsuji; published in the World Journal of Advanced Research and Reviews, 2024. "How Blockchain May Disrupt the Automotive Industry – An Insider's View" — A presentation by Peter Busch for Bosch Engineering GmbH, November 2019. "How Smart Contracts Are Transforming Real Estate in 2026" — Bridge Broker "Peer-to-Peer Energy Trading in a Microgrid Leveraged by Smart Contracts" — ePrints Soton "Smart Contract Vulnerabilities, Tools, and Benchmarks: an Updated Systematic Literature Review" — Written by Gerardo Iuliano and Dario Di Nucci from the University of Salerno; accessed via arXiv. "Smart contracts could improve efficiency and transparency in financial transactions" — S&P Global Episode Note This episode draws on the sources listed above and incorporates AI-assisted research synthesis. All content has been reviewed and curated by the host. It is intended for educational purposes only and does not constitute investment or financial advice.

    27 min
  3. May 13

    Explainable Machine Learning for Investing

    This episode explores the growing importance of Explainable Artificial Intelligence (XAI) in modern finance, specifically focusing on its role in asset allocation and risk management. Researchers demonstrate how machine learning, such as hierarchical clustering, can identify distinct economic regimes by integrating macroeconomic data with investor sentiment, offering more transparency than traditional "black box" models. This shift toward interpretability allows portfolio managers to understand the underlying drivers of a model's decisions, which is essential for maintaining fiduciary duties and ensuring model robustness. Case studies, including ESG portfolios and regime-based allocation, highlight how XAI enhances performance by capturing market shifts that traditional quantitative methods often miss. Ultimately, the documents emphasize that balancing algorithmic flexibility with human-readable explanations is vital for building trust and reliability in financial applications. References Grevenbrock, N., Zhao, Z., & Patel, N. Model Risk Management in the Age of AI. Moody's. Japinye, A. O., & Adedugbe, A. A. (2025). Explainable AI for credit scoring with SHAP-calibrated ensembles: A multi-market evaluation on public lending data. SSR Journal of Artificial Intelligence (SSRJAI), 2(3), 5-24., Kocaarslan, B. (2026). What Do We Know about Value-Oriented ESG Portfolio? An Explainable AI Application. The Journal of Alternative Investments. Ledoux, A., Forseth, E., & Tricker, E. (2019). Model Interpretability in Machine Learning. Graham Capital Management. Li, Y., Simon, Z., & Turkington, D. (2022). Investable and Interpretable Machine Learning for Equities. The Journal of Financial Data Science., The Ohio State University. SyMANTIC – Novel Symbolic Regression to Discover Accurate Models from Data | Available Technologies | Inventions. Wilson, C.-A. Explainable AI in Finance: Addressing the Needs of Diverse Stakeholders. CFA Institute Research and Policy Center. Ye, R., & Chen, J. (2025). Unlocking the Black Box: A Five-Dimensional Framework for Evaluating Explainable AI in Credit Risk. arXiv:2511.04980. Zhang, R., Yi, C., & Chen, Y. (2020). Explainable Machine Learning for Regime-Based Asset Allocation. IEEE. Episode Note This episode draws on the sources listed above and incorporates AI-assisted research synthesis. All content has been reviewed and curated by the host. It is intended for educational purposes only and does not constitute investment or financial advice.

    26 min
  4. Apr 22

    Intelligent Internet: A Sovereign Blueprint for the AI Age

    Intelligent Internet: A Sovereign Blueprint for the AI Age In this episode we discuss concrete developments springing from the ideas in the chapters of Emad Mostaque’s The Last Economy that we discussed in previous Expanding Frontiers episodes. In fact, the announcement for the new Logos system explicitly states that the Intelligent Internet was founded specifically to "build tools for the Intelligence Age, set out in The Last Economy". In short, this episode discusses the active transition from the textbook's theoretical foundations into actionable technology, characterized by a detailed operational protocol and the rollout of advanced reasoning tools intended to augment human intuition and innovation. References "Intelligent Internet Whitepaper - Emad Mostaque". This document serves as the engineering blueprint and master plan for the Intelligent Internet protocol. https://ii.inc/web/whitepaper "Introducing Logos - Intelligent Internet". This is an announcement published on April 20, 2026, that introduces the new first-principles augmented intelligence system called Logos. https://ii.inc/web/logos The Last Economy – Emad Mostaque https://ii.inc/web/the-last-economy Podcast Disclaimer This podcast is an independent production and is not affiliated with or endorsed by any third-party entities unless explicitly stated. The content is for educational and informational purposes only and does not constitute financial, investment, legal, or professional advice. Listeners should consult qualified professionals before making any decisions based on this content. This episode is based on the references listed above and was generated using Notebook LM and other AI tools. While I have reviewed the content for accuracy, it may still contain errors, inaccuracies, or omissions. Neither the producers nor any affiliates accept liability for any damages or losses arising from the use or interpretation of this content.

    23 min
  5. Apr 15

    Digital Assets and Distributed Ledger Technology in Modern Finance

    This episode provides a comprehensive academic overview of digital assets, focusing on the technical foundations and financial implications of distributed ledger technology. It explains critical network functions, such as consensus mechanisms like Proof of Work and Proof of Stake, while distinguishing between permissioned and permissionless governance structures. The discussion explores diverse financial applications, including asset tokenization, smart contracts, and the burgeoning ecosystem of decentralized finance (DeFi). From an investment perspective, it analyzes the risk-return profiles and diversification potential of cryptocurrencies, stablecoins, and tokens. Finally, a case study on China’s digital yuan illustrates the strategic role of central bank digital currencies in modernizing monetary policy and global financial infrastructure. Reference Wilkens, Kathryn A. (2026) Chapter 7, “Digital Assets,” in Alternative Investments: Expanding Frontiers https://leanpub.com/alternativeinvestments Podcast Disclaimer This podcast is an independent production and is not affiliated with or endorsed by any third-party entities unless explicitly stated. The content is for educational and informational purposes only and does not constitute financial, investment, legal, or professional advice. Listeners should consult qualified professionals before making any decisions based on this content. This episode is based on the references listed above and was generated using Notebook LM and other AI tools. While I have reviewed the content for accuracy, it may still contain errors, inaccuracies, or omissions. Neither the producers nor any affiliates accept liability for any damages or losses arising from the use or interpretation of this content.

    25 min

About

Alternative investments, frontier research, and the ideas reshaping both. Expanding Frontiers explores alternative investments and the frontier research reshaping how they're built, evaluated, and accessed. Each episode engages with academic papers, industry research, and emerging frameworks across hedge funds, private equity, private credit, real assets, structured products, digital assets, and the data science transforming investment management. Hosted by Kathryn Wilkens, PhD, CAIA, adjunct professor at Rutgers Business School's Master of Financial Analysis program and author of the graduate textbook Alternative Investments: Expanding Frontiers, the show is for practitioners, allocators, students, and curious investors who want substance over surface. New episodes weekly. Production note: Episodes are produced with the help of AI tools, including NotebookLM, for research synthesis and audio generation. All content is reviewed by the host for accuracy. This podcast is independent and not affiliated with any organization unless explicitly stated. Content is for educational purposes only and does not constitute financial, investment, legal, or professional advice.