Tag Archives: SPIVA

SPIVA® Latin America – Active Versus Passive in Latin America

The SPIVA Latin America Year-End 2017 Scorecard, which tracks the performance of active funds in Brazil, Chile, and Mexico relative to category benchmarks, was recently released. To ensure that the report is as relevant as possible to market participants, the S&P/BMV IRT, the total return version of the S&P/BMV IPC, is being introduced as the Read more […]

How Did Australian Active Funds Perform in 2017?

The SPIVA® Australia Scorecard reports on the performance of actively managed Australian mutual funds against their respective benchmark indices over various investment horizons. In the year-end 2017 report, we extended the analysis to 15 years. In 2017, the majority of Australian funds in most categories underperformed their respective benchmarks, apart from the Australian A-REIT category. Read more […]

The Skew Is Not New

Market observers have noted that the S&P 500’s performance so far this year has been dominated by a small number of technology stocks.  This observation is certainly correct, although it’s fair to question the relevance of a statistic based on fewer than two months’ data.  What’s more important is to bear in mind that this Read more […]

Lack of Performance Persistence Continues for Actively Managed U.S. Equity Funds

The results are in for the latest S&P Persistence Scorecard. Based on data as of Sept. 30, 2017, the results again highlight the lack of performance persistence among actively managed equity funds. Produced semiannually, the S&P Persistence Scorecard highlights the degree of difficulty faced by active managers to stay at the top of their peer Read more […]

Prediction for 2018: There Will Be Many Predictions

A calendar that offers a forecast for every day of the coming year is not uncommon in Chinese households.  I don’t often hear references to the calendar on most days. But every now and again I would hear my mom marvel, “Oh that calendar was right on for today!” In investing, there is also particular Read more […]

Pockets of Active Achievement

The last 16 years have not been kind to active management. But that shouldn’t come as a surprise. Unless the laws of basic arithmetic change, the theoretical argument on the perils of active management is ironclad. SPIVA data offer solid evidence to back up theory. As the chart below shows, most active managers underperform most Read more […]

What Are Large-Cap Active Managers Up To? A Look at Their Active Factor Bets Relative to the S&P 500 (Part II)

In a recent study published in the Financial Analysts Journal, Ang, Madhavan, and Sobczyk (2017)[1] highlighted that using regression-based factor loadings to measure managers’ factor exposures, even when conducted on a rolling basis, can be misleading due to excessively smoothed coefficients, given that active managers adjust their exposures dynamically. The authors argued that holdings-based attribution Read more […]

What Are Large-Cap Active Managers Up To? A Decomposition of Their Active Sector and Factor Bets (Part I)

The SPIVA U.S. Mid-Year 2017 Scorecard shows that the relative performance of actively managed domestic equities funds across large-, mid-, and small-cap segments has improved in recent months.  For example, only 56.56% of large-cap equity managers underperformed the S&P 500® for the one-year period, whereas 84.62% underperformed the benchmark at mid-year 2016.[1]  More importantly, when Read more […]

Getting What You Pay For

Earlier this week, the Wall Street Journal featured a long article arguing that Morningstar’s star ratings for mutual funds were a “mirage.”   Since these ratings exert a powerful influence over fund flows, their usefulness is obviously of keen interest to investors.  To its credit, Morningstar, although arguing that its ratings are a “worthwhile starting point,” Read more […]

Stock Picking AI? Elementary, My Dear Watson

Keen watchers of the ever-developing exchange-traded product space may have noticed an intriguing development last week, as the first purely “artificial intelligence”-based stock-picking ETF launched.  Powered by IBM’s “Watson” platform, the fund sponsors claim to use a proprietary quantitative model to select stocks that will outperform, based on machine learning applied to vast data sets. One cannot help wondering Read more […]