It looks like you're new here. If you want to get involved, click one of these buttons!
Today's piece identified three egregious current bubbles - Tesla, bitcoin and many large tech stocks - and issued the dual recommendation to avoid them and to avoid market-cap weighted indexes that are driven by them. The S&P 500 is 25% tech, with Microsoft, Apple, Amazon and Facebook alone accounting for 13% of the index. If the two shares of Alphabet stock (GOOG and GOOGL) were treated as one stock, then the top five stocks would all be tech and about comprise 16% of the index with an average unweighted P/E of 37.An anti-bubble is an asset or asset class that requires implausibly pessimistic assumptions in order to fail to deliver a solid risk premium. In an anti-bubble, the marginal seller disregards valuation models, which are indicating the asset is undervalued.
https://www.schwab.com/resource-center/insights/content/closed-end-bond-funds-how-they-work-and-what-you-should-know-as-rates-riseLeveraged closed-end funds tend to benefit from a steep yield curve—that is, a large spread between short- and longer-term interest rates. By borrowing at lower short-term rates and investing at higher longer-term rates, the fund typically can generate higher income. ... [T]he spread has narrowed over the past few years.
Rising short-term interest rates can have a big impact on closed-end fund prices. In general, rising short-term rates will increase the cost of leverage for closed-end funds. If the yield curve flattens as rates rise, it can be a double whammy: The fund has to pay more to borrow, while the bonds in the fund may drop in value. If the spread between the cost of borrowing and the yield earned on the underlying bond investments narrows, some funds may not be able to generate as much income as in the past, leading to a cut in the income distribution.
When that happens, a fund’s price may fall, as investors may look elsewhere for income. In addition, leverage can increase the fund’s effective duration—that is, the sensitivity of its price to changes in interest rates. Consequently, closed-end funds can experience far greater price volatility than unleveraged funds.
I'm skimming through a 2016 M* paper on the short term persistence of mutual fund performance. Like any responsible paper on the subject, it starts with Carhart's 1997 paper. " Carhart attributed this [short term persistence] effect to momentum, showing that recent outperformers happen to hold stocks with strong momentum on average, though they don’t necessarily follow a momentum strategy."If you continually monitor the M*, Lipper*, etc. charts and keep shifting money away from the poorer performing funds into the better performing ones in each “category” (as a good many do), than I’d say you are a “closet momentum player” - though probably unaware of it.
But allow me to attempt to explain. The fund manager who boosts returns by buying hot stocks (let’s assume “systematically”) is the real momentum player. He / she knows full well what they’re doing. The individual investor who moves money to that fund because it’s been “outperforming” itspeers is the unwitting victim of the momentum strategy - thus, a “closet momentum player”.
http://www.fwp.partners/wp-content/uploads/2016/09/Performance-Persistence-Morningstar-2016.pdfthe positive and significant coefficient on the [momentum] factor [for large blend funds] suggests that the managers in the top quintile had greater exposure to stocks with positive momentum (or less exposure to stocks with negative momentum) than those in the bottom quintile during the holding periods. The adjusted R-squared indicates how well the model fit the data. In this case, the regression could explain 56% of the variance in the returns between the funds in the top and bottom quintiles. This means that the model explains a significant part of the story, but there is much it doesn’t capture.
[In plainer English, over half of the outperformance of hot large cap blend funds over the subsequent year is because they tend to hold more high momentum stocks. This effect doesn't last over longer periods.]
Overall, differences in momentum, rather than differences in skill, appear to explain return
persistence in the short term.
© 2015 Mutual Fund Observer. All rights reserved.
© 2015 Mutual Fund Observer. All rights reserved. Powered by Vanilla