In this episode of The Behavioral Divide, UCLA Professor Hal Hershfield, leads a discussion on the psychology of uncertainty and why our brains struggle to deal with it, how different types of uncertainty influence our choices, and what the research says about interventions that actually help.
Avantis Credit ETF invests primarily in investment-grade quality debt obligations from a diverse group of U.S. and non-U.S. issuers.
The Avantis Investors Field Guide is created with your clients in mind. Published every month, this piece includes data and commentary covering various markets and headlines from across the globe, as well as insights from academic thought leaders.
Our strategies share a common investment approach that combines a philosophy based on financial science with expert implementation aimed at increasing expected returns* and managing risks.
The leadership team has decades of experience delivering repeatable and effective investment solutions across geographies and through different market cycles. The team is well recognized by investors worldwide.
Our goal is to deliver low-cost, broadly diversified solutions in a variety of formats, including mutual fund and ETF, so that you can choose the optimal vehicle to fit your circumstances. Please contact your financial advisor to discuss availability.
Avantis Investors is backed by American Century Investments®, a $262 billion** asset manager with a reputation for client care, stewardship and stability—bringing great scale to our efforts and allowing a long-term focus.
**As of 12/31/2024
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Hal Hershfield, Ph.D.
This behavioral insight from Hal Hershfield, Consultant to Avantis Investors, explores the psychology of windfall gains and their impact on spending and saving.
*Expected Returns: Valuation theory shows that the expected return of a stock is a function of its current price, its book equity (assets minus liabilities) and expected future profits, and that the expected return of a bond is a function of its current yield and its expected capital appreciation (depreciation). We use information in current market prices and company financials to identify differences in expected returns among securities, seeking to overweight securities with higher expected returns based on this current market information. Actual returns may be different than expected returns, and there is no guarantee that the strategy will be successful.
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