Model Portfolio Masterclass Series

Algo-Chain Education
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Presented over a number of weeks by the co-founders of Algo-Chain, Allan Lane, Ph.D & Irene Bauer, Ph.D*

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  1. 第 2 集

    The History of Model Portfolios

    Overview   Model portfolios are changing how we invest. Once exclusive to the wealthy, these professionally designed investment templates are now accessible to everyone, thanks to advancements in technology and the rise of innovative platforms.   This shift opens doors to sophisticated wealth management solutions for a wider range of investors, no matter their investment goals or risk appetite. As the industry continues its impressive growth trajectory, fuelled by increasing demand and evolving technology, model portfolios are poised to become the cornerstone of investment strategies worldwide.     ----more---- This podcast has been provided as part of Algo-Chain's Model Portfolio Masterclass Series. Presented over a number of weeks by the co-founders of Algo-Chain, Allan Lane, Ph.D & Irene Bauer, Ph.D, this series aims to share their many years of hands-on experience with Wealth Managers & Financial Advisors who are looking to offer their own suite of Model Portfolios. Covering everything from portfolio construction using ETFs, to the more ambitious goal of actively managing an optimized portfolio using trading signals. Our goal is to help you deliver top quartile performance. Access Algo-Chain's landing page to learn more about our we are using AI assisted ETF search to deliver top quartile returns. Wealth Manager Solutions    Subscribe via LinkedIn and receive the latest Model Portfolios Masterclass direct to your inbox Subscribe Now

    11 分鐘

  2. 第 3 集

    A Model Portfolio's Lifecycle

    Overview In this episode of the Masterclass Series podcast, we introduce the concept of Mean-Variance Optimization and the Capital Asset Pricing Model (CAPM), frameworks used to understand risk and return in financial markets.   We start by explaining how Markowitz's portfolio theory helps investors construct portfolios that minimize risk for a given level of return, introducing the concept of the efficient frontier. The podcast then move on to incorporate a risk-free asset, which simplifies the efficient frontier to a straight line, leading to the concept of the tangency portfolio. The CAPM is derived from this framework, suggesting that the risk of an asset is not measured by its volatility but rather by its beta, which reflects its correlation with the market portfolio.   ----more---- This podcast has been provided as part of Algo-Chain's Model Portfolio Masterclass Series. Presented over a number of weeks by the co-founders of Algo-Chain, Allan Lane, Ph.D & Irene Bauer, Ph.D, this series aims to share their many years of hands-on experience with Wealth Managers & Financial Advisors who are looking to offer their own suite of Model Portfolios. Covering everything from portfolio construction using ETFs, to the more ambitious goal of actively managing an optimized portfolio using trading signals. Our goal is to help you deliver top quartile performance. Access Algo-Chain's landing page to learn more about our we are using AI assisted ETF search to deliver top quartile returns. Wealth Manager Solutions    Subscribe via LinkedIn and receive the latest Model Portfolios Masterclass direct to your inbox Subscribe Now

    17 分鐘

  3. 第 4 集

    Unlocking Portfolio Management with Clustering!

    Overview Ever wonder how data science can help streamline and optimize your investment portfolio? In this episode, we’re diving into the world of clustering algorithms and how they can transform Model Portfolio management. We break down key concepts from a fascinating presentation on machine learning and financial engineering—making them accessible for Wealth Managers You’ll discover: Clustering techniques that group similar investments, helping to identify trends and manage risk. The role of dissimilarity measures in understanding which investments go well together—and which don’t. A rundown of popular algorithms like K-means, hierarchical clustering, and mixture models, and how they can enhance portfolio diversification. We even touch on multidimensional scaling, a cool visualization tool that makes complex data a bit easier to digest. If you are curious about data-driven finance, this episode will open up new perspectives on portfolio management. Don’t miss it—tune in now and take a step toward a smarter, more optimized investment strategy!   ----more---- This podcast has been provided as part of Algo-Chain's Model Portfolio Masterclass Series. Presented over a number of weeks by the co-founders of Algo-Chain, Allan Lane, Ph.D & Irene Bauer, Ph.D, this series aims to share their many years of hands-on experience with Wealth Managers & Financial Advisors who are looking to offer their own suite of Model Portfolios. Covering everything from portfolio construction using ETFs, to the more ambitious goal of actively managing an optimized portfolio using trading signals. Our goal is to help you deliver top quartile performance. Access Algo-Chain's landing page to learn more about our we are using AI assisted ETF search to deliver top quartile returns. Wealth Manager Solutions    Subscribe via LinkedIn and receive the latest Model Portfolios Masterclass direct to your inbox Subscribe Now

    13 分鐘

  4. 第 5 集

    Strategic Asset Allocation: The Long Game vs. The AI Advantage

    Overview Welcome to the latest episode, where we dive into "Strategic Asset Allocation". In this briefing, we’ll explore insights from two influential sources that reshape how we think about portfolio construction. First, we look at William J. Bernstein's "The Intelligent Asset Allocator," which critiques the widely cited "Brinson 93.6% Effect" and questions the real role of active management over time. Bernstein emphasizes the power of long-term asset allocation, showing that in the long haul, setting an equity exposure is key, while the search for market-timing alpha may often boil down to luck. In contrast, Algo-Chain's "Algo-Driven ETF Portfolios" white paper presents a tech-forward approach, leveraging AI to dynamically adjust allocations in response to economic cycles. By blending AI with evidence-based investing, Algo-Chain’s strategy highlights the potential of ETFs and data-driven adjustments to navigate today’s fast-paced market landscape. Whether you're dedicated to long-term strategy or intrigued by the possibilities of AI-driven allocation, this episode provides a valuable overview of asset allocation’s evolution and the exciting intersection of technology and investing. Tune in for a fresh perspective on building resilient portfolios in the modern era.   ----more---- This podcast has been provided as part of Algo-Chain's Model Portfolio Masterclass Series. Presented over a number of weeks by the co-founders of Algo-Chain, Allan Lane, Ph.D & Irene Bauer, Ph.D, this series aims to share their many years of hands-on experience with Wealth Managers & Financial Advisors who are looking to offer their own suite of Model Portfolios. Covering everything from portfolio construction using ETFs, to the more ambitious goal of actively managing an optimized portfolio using trading signals. Our goal is to help you deliver top quartile performance. Access Algo-Chain's landing page to learn more about our we are using AI assisted ETF search to deliver top quartile returns. Wealth Manager Solutions    Subscribe via LinkedIn and receive the latest Model Portfolios Masterclass direct to your inbox Subscribe Now

    14 分鐘

  5. 第 6 集

    The Evolution and Application of Trading Signals in ETF Portfolio Management

    Discover how trading signals have transformed investment strategies, from their roots in market psychology to cutting-edge data-driven approaches in ETF portfolio management. This podcast dives into the journey of trading signals, exploring timeless principles, modern innovations, and their role in shaping today's investment landscape. Why Listen? Timeless Wisdom Meets Modern Innovation: Learn how legendary trader Jesse Livermore's trend-following philosophy paved the way for sophisticated systematic investing, enhanced by technologies like machine learning and alternative data. Actionable Insights for Wealth Managers: Uncover the benefits of a disciplined, systematic approach that reduces emotional biases, optimizes risk management, and improves portfolio performance—perfectly suited for the ETF era. The Power of Technology: Gain an understanding of how advanced algorithms, alternative data, and sophsticated tools are revolutionizing access to professional-grade investment strategies. Inspiration from Trading Icons: Hear stories of renowned trend followers like Paul Tudor Jones, Ed Seykota, and Richard Dennis, whose systematic strategies continue to inspire investors. Whether you're an experienced wealth manager or just exploring investment strategies, this podcast offers practical knowledge and historical context to help you navigate the complexities of today's markets. Tune in to discover how trading signals can transform the way you manage portfolios!   ----more---- This podcast has been provided as part of Algo-Chain's Model Portfolio Masterclass Series. Presented over a number of weeks by the co-founders of Algo-Chain, Allan Lane, Ph.D & Irene Bauer, Ph.D, this series aims to share their many years of hands-on experience with Wealth Managers & Financial Advisors who are looking to offer their own suite of Model Portfolios. Covering everything from portfolio construction using ETFs, to the more ambitious goal of actively managing an optimized portfolio using trading signals. Our goal is to help you deliver top quartile performance. Access Algo-Chain's landing page to learn more about our we are using AI assisted ETF search to deliver top quartile returns. Wealth Manager Solutions    Subscribe via LinkedIn and receive the latest Model Portfolios Masterclass direct to your inbox Subscribe Now

    19 分鐘

  6. 第 7 集

    The Intelligent ETF Investor

    Benjamin Graham’s The Intelligent Investor offers a timeless framework for value investing. But in today’s world, dominated by thousands of ETFs, does Graham’s approach to asset selection still hold relevance? In this podcast, we explore whether the principles of value investing can be effectively combined with the methodologies of technical analysis.

    15 分鐘

  7. 第 8 集

    Tactical Asset Allocation & Economic Regime-Based Investing

    🎙️ Podcast Alert: Tactical Asset Allocation & Economic Regime-Based Investing! 🌐 Join us as we explore the dynamic world of Tactical Asset Allocation (TAA) and its integration with macro-economic data, featuring insights from legendary investors Ray Dalio, Mebane Faber, and David Swensen. Learn how combining momentum signals with economic regime analysis can help you dynamically adjust portfolios, manage risks, and achieve superior risk-adjusted returns. We'll also discuss practical strategies, from using the 10-month SMA rule to leveraging OECD economic data, and highlight how Algo-Chain's innovative approach brings these principles to life for wealth managers and advisors. 📢 Tune in for actionable insights and transform your approach to navigating market cycles! 🚀

    12 分鐘

  8. 第 9 集

    Thematic Investing: Riding the Wave of Structural Change

    The evolution of thematic investing using ETFs tells a story of financial innovation, market responsiveness, and the shifting preferences of modern investors. For Wealth Managers and Financial Advisors, this approach represents an opportunity to deliver portfolios aligned with transformative global trends, offering clients a strategic way to capitalize on long-term structural changes. This episode explores how thematic ETFs emerged as a significant departure from traditional market-cap-weighted funds, gaining traction by targeting sectors like technology, healthcare, and clean energy. We’ll uncover how these ETFs evolved to reflect societal and technological megatrends, such as artificial intelligence, robotics, and renewable energy, becoming an integral tool for aligning portfolios with emerging opportunities. But the rise of thematic ETFs is not without its challenges. Concentration risks, valuation complexities, and the need for informed diversification make active management crucial. For Wealth Managers, this means developing strategic foresight, managing risk exposure, and educating clients on both the potential and the volatility of these investments. In this episode, we’ll guide you through: The historical evolution and growing popularity of thematic ETFs. Strategies to balance concentration risks with diversification. How to integrate thematic ETFs into a Core/Satellite portfolio model. The role of thematic ETFs in delivering exceptional client outcomes. Join us as we explore how thematic investing has become a cornerstone of modern portfolio construction, and discover how to leverage these powerful tools to reshape your value proposition and provide clients with access to the next wave of global opportunities.

    14 分鐘

  9. 第 10 集

    Decoding Market Dynamics: Applying Wavelet Techniques to Factor-Based Investment Strategies

    Applying Wavelet Techniques to Factor-Based Investment Strategies In our latest podcast, we delve into the expanding landscape of factor investing, examining the surge in identified factors and the implications for investors. ✨ We also explore innovative research where wavelet techniques are applied to enhance investment strategies. 🕵️ Wavelet analysis allows for the decomposition of financial time series into various frequency components, enabling a nuanced understanding of market behaviors across different investment horizons. ⏳ This approach aids in distinguishing between short-term fluctuations and long-term trends, potentially leading to more effective risk management and improved returns. ⚖️ By integrating wavelet methods, investors can gain deeper insights into the dynamic nature of financial markets, making this a promising avenue for refining factor-based investment strategies. 🌐   References: The 300 Secrets* to High Stock Returns https://www.chicagobooth.edu/review/300-secrets-high-stock-returns Stockformer: A Price-Volume Factor Stock Selection Model Based on Wavelet Transform https://arxiv.org/abs/2401.06139   The Determinants of Stock and Bond Return Comovements https://academic.oup.com/rfs/article-abstract/23/6/2374/1568744

    23 分鐘

  10. 第 12 集

    How Cryptos Will Shape The Future of Multi-Asset Investing

    This Week on the Podcast: The Crypto Revolution in Multi-Asset Portfolios! 🎙️ As a Wealth manager, ever wondered what it was like when the biggest crypto ideas were first unleashed? This week, we dive into the original whitepapers of Bitcoin, Ethereum, Solana, XRP Ledger, and Binance Smart Chain - rewinding to the moment these groundbreaking concepts were born. Imagine the excitement, the skepticism, and the vision. How did the theory stack up against reality? What does it mean for the future of investing? Join us as we unravel the story of crypto’s rise—and why it’s becoming impossible to ignore in multi-asset portfolios. Tune in now! 🎧

    18 分鐘

  11. 第 13 集

    Shaping the Future of Sustainable Finance

    🌍 Shaping the Future of Sustainable Finance The next generation of wealth management is here - and it’s sustainable. Our podcast dives into the real-world impact of ESG-focused Exchange Traded Funds (ETFs) and the climate-conscious strategies reshaping the financial industry. In this episode, we spotlight three innovative ETFs 🚀 leading the way: 🔹 Franklin S&P 500 Paris Aligned Climate UCITS ETF 🔹 Ossiam ESG Low Carbon Shiller Barclays CAPE® US Sector UCITS ETF 🔹 Amundi Global Aggregate Green Bond UCITS ETF These funds aren’t just theories - they’re proof that sustainable investing is driving real change 🔄. We break down fund objectives, sustainability metrics, and key insights to help you stay ahead in the evolving world of green finance. Whether you’re an experienced wealth manager or an emerging financial advisor, this podcast gives you the knowledge and tools to build a smarter, more responsible investment strategy. 🎧

    18 分鐘
  • 共 11 集

簡介

Presented over a number of weeks by the co-founders of Algo-Chain, Allan Lane, Ph.D & Irene Bauer, Ph.D*

資訊