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Value Investing Strategy (Strategy Overview)

Allocations for February 2023 (Final)
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Momentum Investing Strategy (Strategy Overview)

Allocations for February 2023 (Final)
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Calendar Effects

The time of year affects human activities and moods, both through natural variations in the environment and through artificial customs and laws. Do such calendar effects systematically and significantly influence investor/trader attention and mood, and thereby equity prices? These blog entries relate to calendar effects in the stock market.

Optimal Monthly Cycle for SACEMS?

Is there a best time of the month for measuring momentum within the Simple Asset Class ETF Momentum Strategy (SACEMS)? To investigate, we compare 21 variations of baseline SACEMS by shifting the monthly return calculation cycle from 10 trading days before the end of the month (EOM) to 10 trading days after EOM. For example, an EOM+5 cycle ranks assets based on closing prices five trading days after EOM each month. We focus on gross compound annual growth rate (CAGR) and gross maximum drawdown (MaxDD) as key performance statistics for the Top 1, equally weighted (EW) Top 2 and EW Top 3 portfolios of monthly winners. Using daily dividend-adjusted prices for SACEMS assets during mid-February 2006 through mid-October 2022, we find that:

Keep Reading

Live Test of the Stock Market Overnight Move Effect

Is the stock market overnight move effect exploitable? To investigate, we look at performances of two recently launched exchange-traded funds (ETF) designed to exploit the effect:

  1. NightShares 500 ETF (NSPY), which “seeks to return the night performance of a portfolio of 500 large cap U.S. companies.” The benchmark is SPDR S&P 500 ETF Trust (SPY).
  2. NightShares 2000 ETF (NIWM), which “seeks to return the night performance of a portfolio of 2000 small cap U.S. companies.” The benchmark is iShares Russell 2000 ETF (IWM).

Because available samples are very short, we focus on daily return correlation with the benchmark, average daily return, standard deviation of daily returns and daily reward/risk (average daily return divided by standard deviation of daily returns). We also look at compound annual growth rates (CAGR) and maximum drawdowns (MaxDD) based on daily data. Using daily total returns for NSPY, NIWM and benchmarks during June 28, 2022 through October 7, 2022, we find that: Keep Reading

Stock Market and the National Election Cycle

Some stock market experts cite the year (1, 2, 3 or 4) of the U.S. presidential term cycle as a useful indicator of U.S. stock market returns. Game theory suggests that presidents deliver bad news immediately after being elected and do everything in their power to create good news just before ensuing biennial elections. Are some presidential term cycle years reliably good or bad? If so, do abnormal returns concentrate in certain quarters? Finally, what does the stock market do in the period immediately before and after a national election? Using daily and monthly S&P 500 Index levels from January 1928 through Sep 2022 (about 95 years and 23.7 presidential terms) and focusing on “political quarters” (Feb-Apr, May-Jul, Aug-Oct and Nov-Jan), we find that: Keep Reading

Asset Class ETF Seasonalities?

Do exchange-traded funds (ETF) that track asset classes, such as those used in the Simple Asset Class ETF Momentum Strategy (SACEMS) and the Simple Asset Class ETF Value Strategy (SACEVS), exhibit reliable seasonalities? To check, we look at average return by calendar month for the following nine ETFs:

  • SPDR S&P 500 (SPY)
  • iShares Russell 2000 Index (IWM)
  • iShares MSCI EAFE Index (EFA)
  • iShares MSCI Emerging Markets Index (EEM)
  • iShares Barclays 20+ Year Treasury Bond (TLT)
  • iShares iBoxx $ Investment Grade Corporate Bond (LQD)
  • Vanguard REIT (VNQ)
  • SPDR Gold Shares (GLD)
  • PowerShares DB Commodity Index Tracking (DBC)

Using monthly dividend-adjusted returns for these ETFs over a common sample period during March 2006 (limited by DBC) through August 2022, we find that: Keep Reading

Morning Momentum and Afternoon Reversal for Stock Returns

Do morning and afternoon stock returns convey different meanings due to gradual dissipation of information asymmetry among traders during the trading day (as the market digests overnight news)? In their August 2022 paper entitled “A Tale of One Day: Morning Momentum, Afternoon Reversal”, Haoyu Xu and Xiaoneng Zhu investigate differences in implications for reversal and momentum strategies among morning (9:30AM – 11:30AM), midday (11:30AM – 2:00PM) and afternoon  (2:00PM – 4:00PM). Specifically, they:

  • For each stock each month, cumulate returns over these three intervals.
  • Sort stocks into tenths, or deciles, based either on cumulative returns over the most recent month (for reversal testing) or compounded cumulative returns from 12 months ago to one month ago (for momentum testing) for different combinations of these three intervals.
  • Reform various long-short portfolios using extreme deciles to explore the different predictive powers of past morning and afternoon returns.

For reversal tests, they apply equal weighting. For momentum tests, they consider both value and equal weightings. They calculate raw returns, 3-factor (market, size, book-to-market) alphas and 4-factor (adding momentum) alphas as essential performance statistics. They use conventional strategies using full daily returns as benchmarks. Using intraday and daily return data for a broad sample of U.S. common stocks priced at least $5 during 1993 through 2018, they find that:

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Stock Market Return Reversal after FOMC Announcements

Does the U.S. stock market respond predictably to Federal Open Market Committee (FOMC) announcements, typically released between 14:00 and 14:20 EST? In the August 2022 version of their paper entitled “The FOMC Announcement Reversal”, Tommaso Baglioni and Ruy Ribeiro examine the relationship between pre-FOMC announcement returns and post-FOMC announcement returns. Specifically, they test a reversal strategy that buys (sells) E-mini S&P 500 just before announcement at 13:50 EST when the return during the 24 hours before the announcement is negative (positive) and closes the position at the end of the trading day. They buy at the ask and sell at the bid to account for trading frictions. They compute average cumulative return per round trip transaction and Sharpe ratio as average return divided by standard deviation (standardized to reflect one trading day and the number of hours the position is open). They consider two subperiods (October 1997 through March 2011 and April 2011 through January 2020). They also look at interactions of strategy performance with four measures of economic conditions: market uncertainty (VIX), economic policy uncertainty, monetary policy uncertainty and consumer sentiment. Using intraday E-mini S&P 500 prices, exact FOMC announcement release data and measures of economic conditions on FOMC announcement dates during mid-October 1997 through January 2020 (a total of 180 scheduled FOMC announcements), they find that:

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Stock Market Returns Around Labor Day

Does the Labor Day holiday, marking the end of summer vacations, signal any unusual return effects by refocusing U.S. stock investors on managing their portfolios? By its definition, this holiday brings with it any effects from the turn of the month. To investigate the possibility of short-term effects on stock market returns around Labor Day, we analyze the historical behavior of the stock market during the three trading days before and the three trading days after the holiday. Using daily closing levels of the S&P 500 Index for 1950 through 2021 (72 observations), we find that: Keep Reading

Overnight Effect Important for Investors?

Over at least the past three decades, 100% or more of the return (0% or negative return) on a wide range of risky assets occurs when markets are closed (open). Is this overnight effect important to investors? In their June 2022 paper entitled “Night Moves: Is the Overnight Drift the Grandmother of All Market Anomalies”, Victor Haghani, Vladimir Ragulin and Richard Dewey briefly review the dozen or so papers exploring this effect, mostly focused on broad stock market returns. They then take a closer look at whether the effect applies to individual U.S. stocks and discuss implications for investors. Using results of past research and overnight and intraday prices for selected exchange-traded funds (ETF) and stocks as available since the mid-1990s through May 2022, they find that: Keep Reading

Turn-of-the-Month Effect for Currencies?

A subscriber asked whether the Turn-of-the-Month (TOTM) effect applies to currencies. To investigate, as in the past, we define TOTM as the interval from the close five trading days before to the close four trading days after the last trading day of the month (a total of eight trading days, centered on the monthly close). We measure TOTM returns for the following four exchange-traded funds (ETF):

Invesco DB US Dollar Bullish (UUP)
Invesco CurrencyShares Euro Currency (FXE)
Invesco CurrencyShares Japanese Yen (FXY)
WisdomTree Chinese Yuan Strategy (CYB)

Using daily dividend-adjusted prices for these ETFs from their respective inceptions through mid-June 2022, we find that: Keep Reading

Stock Market Behavior Around Mid-year and 4th of July

The middle of the year might be a time for funds to dress their windows and investors to review and revise portfolios. The 4th of July celebration might engender optimism among U.S. investors. Are there any reliable patterns in daily U.S. stock market returns around mid-year and the 4th of July? To check, we analyze historical behavior of the S&P 500 Index from five trading days before through trading days after both the end of June and the 4th of July. Using daily closing levels of the index for 1950-2021 (72 years), we find that: Keep Reading

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