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I want to compare the average returns per day in from Dec 25th to Jan 2nd (the following year) vs the average returns per day for dates not in this range. I also want to compare the standard deviation of returns for this period vs dates not in this period. Finally, I want to compare the average returns per day divided by the standard deviation of returns per day. Include the number of trading days in these windows so that I can later perform a two-sample t-test. Group by the following years:

  • 2000
  • 2001
  • 2002
  • 2003
  • 2004
  • 2005
  • 2006
  • 2007
  • 2008
  • 2009
  • 2010
  • 2011
  • 2012
  • 2013
  • 2014
  • 2015
  • 2016
  • 2017
  • 2018
  • 2019
  • 2020
  • 2021
  • 2022
  • 2023

SPY Holiday and Non-Holiday Trading Analysis (2000-2023)

YearHoliday Trading DaysNon-Holiday Trading DaysHoliday Avg Return (%)Non-Holiday Avg Return (%)Holiday StddevNon-Holiday StddevHoliday Return per RiskNon-Holiday Return per Risk
200042470.0541-0.02691.34021.51220.0403-0.0178
20015243-0.4332-0.03261.13331.3971-0.3822-0.0234
20025247-0.0310-0.08371.31951.6746-0.0235-0.0500
200352470.94960.08691.38321.03020.68660.0843
200462460.00550.04370.29610.70870.01860.0617
20054248-0.44700.02830.51620.6505-0.86580.0436
200642470.15520.05910.54480.63280.28480.0934
20074247-0.50750.03360.63011.0056-0.80540.0334
200852480.6417-0.16371.30282.61970.4925-0.0625
200952470.41760.10061.51641.68340.27540.0598
201052470.02260.06280.10731.14060.21070.0551
20114248-0.17410.02100.99271.4575-0.17530.0144
201242460.01610.06331.18470.79840.01360.0793
201352470.70620.10161.07010.68600.65990.1481
20145247-0.40620.06190.61070.7081-0.66520.0875
20155247-0.18610.01360.79430.9784-0.23430.0139
20164248-0.24100.05300.46330.8271-0.52010.0641
20174247-0.06040.08140.24860.4270-0.24290.1907
201852461.4561-0.04272.04911.03040.7106-0.0414
201952470.06050.11200.39920.79450.15160.1410
202052480.45140.08160.47822.12340.94390.0385
202152470.18680.10200.70520.82140.26490.1241
20224247-0.0252-0.06901.29301.5328-0.0195-0.0450
202342460.08810.09660.29660.82970.29710.1164

Observations

  • Volatility and Returns: The data shows that holiday periods often have higher volatility (as seen in 2008 and 2018) but can also yield higher returns, such as in 2003 and 2018.
  • Risk-Adjusted Returns: The return per risk metric indicates that holiday periods sometimes offer better risk-adjusted returns, notably in 2003 and 2018.
  • Negative Returns: Some years, like 2001 and 2007, show negative average returns during holiday periods, highlighting potential risks.

Explanation

The query analyzes the SPY ETF's daily returns from 2000 to 2023, comparing holiday and non-holiday periods. It calculates average returns, standard deviations, and return per risk for each period, providing insights into how the market behaves during these times.

Caution

  • Data Accuracy: While the analysis provides valuable insights, it's essential to verify the data and consider other factors before making investment decisions.
  • Market Conditions: Past performance is not indicative of future results. Market conditions can change, affecting future returns.

This analysis serves as a starting point for understanding market behavior during holiday periods. Always consult with a financial advisor for personalized advice.