Practical analysis for investment professionals

risk management


Why Your Portfolio Should Include Scarce Assets

Portfolios that include both productive and scarce assets can deliver similar performance to the S&P 500 with less risk than those that hold only productive assets.

Climate Transition Risk in European Equity Markets

How can investors assess climate transition risk in their portfolios?

Can the Fed Pull Off a Soft Landing?

The yield curve is inverted, implying an imminent recession, but the stock market is at or near record highs. What can we make of these contradictory signals?

It’s Not Always the Economy: Five Questions to Gauge Financial Markets

The economy matters, but it matters differently to different investors depending on their distinct objectives, timelines, and asset allocation. And it’s not the only thing that matters.

Bad Ideas: Why Active Equity Funds Invest in Them and Five Ways to Avoid Them

Most active equity funds do not underperform for lack of stock-picking skill. Rather the investment industry incentivizes them to manage business risk at the expense of long-term portfolio performance.

How to Build Better Low Volatility Equity Strategies  

Not all low volatility strategies are created equal. Many lack the diversification and risk control needed to guard against concentration and macro risk.

Climate Risk and the Future of US Commercial Real Estate

Climate risks and the CRE loan market have many points of intersection that spotlight the urgent need for community and regional banks to recalibrate their risk assessment frameworks.

The FX Swap Market: Growing in the Shadows

The foreign exchange (FX) swap market ought to be both transparent and well regulated. It is neither.

Book Review: Validation of Risk Management Models for Financial Institutions

Validation of Risk Management Models for Financial Institutions, through a set of thoughtful articles, describes how effective structuring and testing of the modeling techniques used in risk management can support better financial decision making.

ChatGPT and Large Language Models: Their Risks and Limitations

Inaccessible data and the limits of computing power are only two of the obstacles holding LLMs back.



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