I will explain what ChatGPT is beyond the headlines, and its capabilities and limitations. I will then share a use case in wealth management and explore whether it will replace human financial advisors.
Investor risk tolerance drives portfolio decisions, yet many financial advisors are rightly concerned about the accuracy of risk tolerance assessments. Why is it so hard? How can we get it right?
I will demonstrate how financial advisors can combine behavioral finance and deep analytics to have a robust conversation with clients during financial turmoil, showing compassion and understanding on the one hand, while telling a compelling long-term story on the other hand.
Which is riskier, bitcoin or Tesla? Here is the analytical framework I created to answer that question.
What insights can we glean beyond last year’s impressive 28% return? How did it compare it to global equities? I will show you some of the winners and losers, and finish with a few observations on the VIX.
The extreme volatility from November 26 to December 3 caused many clients to panic. By using deep analytics, advisors can illustrate that this episode – and others like it – were not that unusual.
Having an accurate investor risk profile is the first step in wealth management. But what is in a risk profile? Is it the same as risk tolerance or is there more to it?
With the most dramatic part of the storm hopefully over, the question is whether the market has bottomed. When is the recovery? Before we get into how to visualize market recovery, let’s offer some perspective on the recovery of the emotional trauma.
Even the most rational clients are subject to emotions, especially during the current coronavirus outbreak, when the threat is both financial and physical.