An exceptional data management process typically includes an extensive system of checks and balances and other quality control measures. Advisors need to be assured the data they present is "investor ready," clean and normalized to increase investor confidence.
How do you set up an advisory firm for success? Any number of external factors can make one firm more successful than a rival but there is a common thread to top firms—across industries—and it is something that comes from inside.
Exponential volumes of sensitive financial data are stored electronically and cybersecurity threats are among the more significant risks faced by firms. Because of this, industry regulators will maintain their heightened focus on cyber security. And one rule that will remain top of mind during regulatory exams is the Securities and Exchange Commission (SEC) Rule 17a-4. Many firms aren’t as compliant with the rule as they think. This has left them unknowingly exposed to potential reputational risk and regulatory fines.
Every day registered investment advisors (RIAs) and financial advisors are helping investors make decisions about their financial lives: What colleges can I afford to send my kids? Will I be able to retire financially independent? How much risk should I take to reach my financial goals? Data is required to answer these questions, and is vital to help RIAs make decisions that will have significant implications for the future of an investor. But without high-quality data, the decisions made may be imperfect or even suspect.
There is a common perception that the average investor cannot understand risk. However, it seems as investment professionals get to know their clients, the more value they see in discussing the topic. If investment and portfolio risk is presented simply, most investors will understand. Investment professionals who understand this can retain and increase their business.
When measuring performance, results can differ depending on whether money-weighting or time-weighting is used. The time-weighted Global Investment Performance Standards (GIPS) are often viewed as an industry best practice. As a result, GIPS are often applied to all business models. However, money-weighting may actually be the more appropriate way to accurately measure performance.
