So how will millennials most influence finance in the next few years? For insight, we asked readers of CFA Institute Financial NewsBrief what they believe. Rebecca Fender, CFA, examines their response.
Barbara Roberts shared the lessons she has learned in her over 20 years as an entrepreneur and entrepreneur adviser at the CFA Institute Alpha and Gender Diversity conference. She focused on what she calls “the owner’s journey,” specifically the issues owner-entrepreneurs must navigate in managing their wealth.
The application of artificial intelligence (AI) and other new technologies to regulatory compliance issues has a name: regtech, or regulatory technology. And it will be a key theme in wealth management in 2017, says April J. Rudin.
Successful client-adviser relationships are built on trust. Behavioral finance offers some insights on how to achieve that trust, Shreenivas Kunte, CFA, observes. It starts with knowing the client — not just their financial means and aspirations, but how they think — and integrating that knowledge into the relationship and the investment plan in an open and forthright manner.
From short-term greed to a lack of transparency, misaligned interests take on both blatant and subtle forms and lead to an ever-widening trust gap in the wealth management industry. So what are some factors that can foster trust? We asked CFA Institute Financial NewsBrief readers what they thought. Shreenivas Kunte, CFA, analyzes the results.
Although a fundamentally important financial concept, modern or mean-variance portfolio theory (MPT) has been of little practical value to retail investors in their asset allocation. Hansi Mehrotra, CFA, believes it’s time to develop a more practical risk-management measure.
Carolyn McClanahan believes that financial planners need to help clients figure out their long-term goals rather than focusing on investments alone. She finds that many financial planners avoid discussing health with their clients despite its significant implications.
In this reissued book, the authors explore credit risk from four distinct quantitative perspectives — the occurrence, frequency, timing, and severity of a loss — and focus on the core econometric techniques for measuring each aspect. Given the industry failings associated with the recent global financial crisis, it is more important than ever for financial analysts to understand the mechanics of quantitative risk tools.
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