Risk Management
In golf, a hole-in-one is a remarkable feat. The odds? Roughly one in 850,000 from a distance of 150 yards – practically a statistical anomaly. Yet, the 2023 LPGA tour recorded 20 such occurrences. How can this… READ MORE ›
Massive M&A deals make headlines but too rarely make money for stockholders.
Is it time to eschew the benchmark trap in favor of Warren Buffett's rule, "Don't lose capital?"
Are you able to step outside the confines of social media echo chambers to make informed investment decisions?
As regulators continue to refine their understanding of AI and big data, financial institutions have an opportunity to shape the regulatory landscape by participating in discussions and implementing responsible practices.
By minimizing exposure to severe market downturns, investors can achieve higher risk-adjusted returns, preserve capital, and avoid the psychological toll of significant losses.
Howard Marks’s approach to risk emphasizes the importance of understanding risk as the probability of loss, not volatility, and managing it through careful judgment and strategic thinking.
Big data-driven AI in financial services is a technology that augments human capabilities. We are living in countries governed by the rule of law, and only humans can adopt safeguards, make decisions, and take responsibility for the results.
Risk managers must look at market and model risk through a single lens to see the complete picture of their market-related investment and trading risks, as well as management costs, complexities, time, and regulatory requirements.
Here's a weighting scheme to mitigate economic risks while preserving the benefits of diversified multi-factor strategies.