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

Model Portfolio Masterclass Series
Claim This Podcastby Algo-Chain Education
Podcast Authority
Beta
Podcast Overview
Presented over a number of weeks by the co-founders of Algo-Chain, Allan Lane, Ph.D & Irene Bauer, Ph.D*
Language
🇺🇲
Publishing Since
10/28/2024
Unlock The Full Podcast Authority Score Report
See how your podcast performs across key metrics
Podcast Authority
Beta
Recommendations available
Unlock the full report to see detailed tips
Recommendations available
Unlock the full report to see detailed tips
Unlock comprehensive insights including:
- • YouTube presence analysis
- • Social media reach metrics
- • RSS compliance scoring
- • Podcast 2.0 features
- • Technical standards
Detailed Analytics
- Complete breakdown of all 19 authority metrics
- Personalized recommendations for each metric
- Industry benchmarks and comparisons
- Technical RSS feed analysis and compliance scoring
Growth Strategies
- Step-by-step action plans for improvement
- Quick wins to boost your score immediately
- Pro tips from successful podcasters
See how your show performs across every key metric
High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.
Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.
Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.
Reach the team behind Model Portfolio Masterclass Series
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
Recent Episodes

March 10, 2025
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. 🎧

February 20, 2025
How Cryptos Will Share 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! 🎧

January 28, 2025
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
11 total episodes available
Recent guests on Model Portfolio Masterclass Series
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Ray Dalio
Guest
Mebane Faber
Guest
David Swensen
Guest
Deep-dive analytics for Model Portfolio Masterclass Series
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Model Portfolio Masterclass Series?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 9 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Information about guest appearances is not available.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.