4/ "The informed-trading algorithm provides better net performance than the two alternatives. It achieves this improved performance by increasing the exposure to the long-term signal while strategically picking how and when to introduce the exposure to the short-term signal."
5/ For simulated, normally distributed returns, "the informed-trading portfolio provides the highest gross and net performance of the three alternative portfolios, both when trading completely to the newly desired positions and when rebalancing optimally."
6/ "Because of trade cancellation, the informed-trading algorithm trades twice as aggressively as the optimally mixed portfolio. In so doing, the informed-trading portfolio achieves a higher exposure to both the LT portfolio and the ST portfolio while paying lower trading costs."
7/ "Trading aggressiveness is selected to maximize the
net Sharpe ratio for each mixture weight.
"For any given long-term exposure, the informed-trading algorithm provides a greater exposure to the short-term signal than that provided by trading a mixed portfolio."
8/ "The points plotted are for mixture weights ranging from 0.7 to 1.0 in increments of 0.0025. Aggressiveness is selected to maximize net Sharpe ratios.
"Informed trading provides exposure to the ST signal more cheaply than does traditionally trading the mixed portfolio."
9/ "As trading costs rise, the informed-trading portfolio will choose a mixture weight approaching 1 on the LT portfolio [no weight to the ST signal]. However, it continues to benefit from its cancellation of undesirable trades (from the perspective of the ST signal)."
10/ "The 0.75 LT simulated Sharpe may be obtained by mixing 10 orthogonal signals, each with a 0.24 Sharpe. A 5% improvement would require an 11th signal.
"We are not confident finding that signal is easier than for a ST signal that does not need to pay for its trading costs."
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1/ I've been getting e-mails "encouraging" me to vote one way or the other... this is how I've responded:
There is a lot of research over the past sixty years suggesting that people think prediction is much easier than it actually is (for both sides of the political spectrum).
2/ We anchor on pieces of information that are easy to remember because we've seen them in the news, but those are not a randomly chosen sample (so unsuitable for making predictions). They are also such a small sample that it's hard to draw statistically significant conclusions.
3/ "The problem is that it *feels* like a random sample and *feels* like a large enough sample, so the more information that people receive, the more overconfident they become, and (ironically) the worse their predictions get.
"Contrary to stock-level evidence, we find a short-term momentum pattern in five major asset classes: the most recent month’s return positively predicts future performance."
2/ Asset classes: Equities, bonds, bills, commodities, and currencies
Sample period: 1800-2018
Data converted to U.S. dollars
For commodities, *spot* prices are used
"The aggregate number of assets increases gradually from 16 in January 1800 to more than 250 in the final years."
3/ Short-term momentum (SMOM) = asset return in month t-1
For control variables: "Due to our data limitations, we must be able to derive the variables using only price information, i.e., without any additional use of accounting data, investor positions, credit ratings, etc."
1/ More Money Than God: Hedge Funds and the Making of a New Elite (Sebastian Mallaby)
"Hedging and leverage could be applied to bonds, futures, swaps, and options. Jones had invented a platform for strategies more complex than he could dream of." (p. 9)
2/ "Hedge funds are the vehicles for loners and contrarians, for individualists whose ambitions are too big to fit into established financial institutions.
"Cliff Asness had been a rising star at Goldman Sachs but opted for the freedom and rewards of running his own shop.
3/ "Jim Simons, who emerged in the 2000s as the highest earner in the industry, would not have lasted at a mainstream bank: He took orders from nobody, seldom wore socks, and got fired from the Pentagon’s code-cracking center after denouncing his bosses’ Vietnam policy.
2/ "A big part of a consultant’s job was to feign total certainty about uncertain things.
"In a job interview with McKinsey, they told Morey that he was not certain enough in his opinions. ‘We’re billing clients five hundred grand a year, so you have to be sure.’
3/ "The firm was forever asking him to exhibit confidence when, in his view, confidence was a sign of fraudulence. They’d asked him to forecast oil for clients, for instance.
"What people said when they “predicted” was phony: pretending to know rather than actually knowing.
1/ Building a Better Commodities Portfolio (Kay, Levine, Ooi, Pedersen)
"Investors can potentially build a better commodities portfolio that is risk-balanced across sectors and that targets a steady level of volatility through time."
2/ "Because commodities have exhibited low correlations to stocks and bonds, a portfolio comprised of all three has produced higher risk-adjusted returns than a 60/40 portfolio of stocks and bonds alone."
3/ "Commodity returns have historically shown a low correlation to other asset classes. Other common inflation protection assets – such as publicly traded REITs, natural resources equities, and TIPS – have shown far higher correlations to either stocks or nominal bonds."