Have a personal or library account? Click to login
The “autumn effect” in the gold market—does it contradict the Adaptive Market Hypothesis? Cover

The “autumn effect” in the gold market—does it contradict the Adaptive Market Hypothesis?

Open Access
|Apr 2024

Figures & Tables

Figure 1.

Research gap, purposes, objectives, and research questions. Source: Own elaboration. AMH, adaptive market hypothesis; ASTRO, astronomical; METEO, meteorological.
Research gap, purposes, objectives, and research questions. Source: Own elaboration. AMH, adaptive market hypothesis; ASTRO, astronomical; METEO, meteorological.

Figure 2.

ASTRO vs. METEO seasons mean daily return of analyzed investments. Source: Own elaboration. ASTRO, astronomical; METEO, meteorological.
ASTRO vs. METEO seasons mean daily return of analyzed investments. Source: Own elaboration. ASTRO, astronomical; METEO, meteorological.

Descriptive statistics for the analyzed time series

Research sampleDescriptive statisticGoldSilverPalladiumPlatinumMSCIS&P 500
ALL N = 10834 (for palladium and platinum N = 8434)Mean (x100)0.01040.00280.03320.00750.02630.0316
Std. dev.0.01060.01930.02050.01390.00910.0112
Min.–0.1290–0.2575–0.1786–0.1728–0.1044–0.2292
Max.0.10480.18280.16960.11730.09100.1096
Skewness–0.2456–0.4978–0.3481–0.5072–0.6925–1.1612
Kurtosis8.479712.10387.67548.938513.339126.3539
DB N = 7,802Mean (x100)0.01150.00860.03280.02380.02650.0284
Std. dev.0.01080.01920.02060.01380.00900.0113
Min.–0.1290–0.2575–0.1786–0.1728–0.1036–0.2292
Max.0.10480.18280.15840.11730.09100.1096
Skewness–0.1574–0.3917–0.1765–0.5800–0.5139–1.2561
Kurtosis8.844911.04476.774810.700212.115029.6646
MP&UA N = 3,032Mean (x100)0.0077–0.01220.0338–0.02140.02570.0398
Std. dev.0.00980.01930.02020.01430.00950.0109
Min.–0.0960–0.1959–0.1568–0.1442–0.1044–0.1277
Max.0.05130.17360.16960.09340.08410.0897
Skewness–0.5484–0.7663–0.6706–0.3862–1.0850–0.8803
Kurtosis6.728714.78329.40616.204915.814116.1195

Regression results–monthly returns conditional on S&P500

Dependent variableMonth indepependent variableALLDBMP&UA
Coef.t-Stat.Sig.Coef.t-Stat.Sig.Coef.t-Stat.Sig.
GoldS&P 500–0.0058–0.64 –0.0231–2.13**0.04182.54**
Jan0.05061.45 0.01560.37 0.13652.26**
Aug0.05221.49 0.03090.73 0.11011.75*
Sep0.04911.38 0.11192.62***–0.1227–1.92*
Nov0.04141.16 0.09492.22**–0.1067–1.67*
SilverS&P 5000.02521.53 –0.0243–1.27 0.16225.05***
Jan0.10761.69*0.10211.35 0.12121.03
Jun–0.1543–2.41**–0.1696–2.24**–0.1184–0.99
Sep–0.0030–0.05 0.10491.39 –0.2973–2.37**
Nov–0.0102–0.16 0.07010.92 –0.2362–1.89*
PalladiumS&P 5000.18839.60***0.12985.36***0.30479.12***
Jan0.22102.89***0.22432.30**0.21231.73*
Feb0.19642.45**0.20432.00**0.17511.36
Aug–0.1022–1.34 –0.1571–1.65*–0.0030–0.02
PlatinumS&P 5000.10998.22***0.05553.42***0.21829.31***
Jan0.17253.31***0.13192.02**0.23742.76***
Feb0.13732.51**0.17142.50**0.07290.81
Mar–0.0631–1.21 0.02220.34 –0.2022–2.35**
Jun–0.0635–1.22 –0.0185–0.29 –0.1468–1.68*
Sep–0.1157–2.18**–0.0570–0.88 –0.2251–2.46**

F-test results for the conducted research

Sample Investment
GoldSilverPalladiumPlatinum
Monthly dataAllF-statistic = 0.889 p-value = 0.550 n.s.F-statistic = 1.161 p-value = 0.308 n.s.F-statistic = 1.920 p-value = 0.032 **F-statistic = 2.374 p-value = 0.006 ***
DBF-statistic = 1.360 p-value = 0.185 n.s.F-statistic = 1.251 p-value = 0.247 n.s.F-statistic = 1.372 p-value = 0.179 n.s.F-statistic = 1.436 p-value = 0.149 n.s.
MP&UAF-statistic = 1.800 p-value = 0.049 **F-statistic = 1.872 p-value = 0.038 **F-statistic = 1.055 p-value = 0.394 n.s.F-statistic = 2.485 p-value = 0.004 ***
ASTRO Seasons dataAllF-statistic = 0.890 p-value = 0.445 n.s.F-statistic = 0.962 p-value = 0.410 n.s.F-statistic = 5.019 p-value = 0.002 ***F-statistic = 2.891 p-value = 0.034 **
DBF-statistic = 0.717 p-value = 0.542 n.s.F-statistic = 0.251 p-value = 0.861 n.s.F-statistic = 4.466 p-value = 0.004 ***F-statistic = 2.891 p-value = 0.034 **
MP&UAF-statistic = 2.190 p-value = 0.087 *F-statistic = 1.595 p-value = 0.188 n.s.F-statistic = 1.233 p-value = 0.296 n.s.F-statistic = 0.863 p-value = 0.460 n.s.
METEO Seasons dataAllF-statistic = 0.152 p-value = 0.929 n.s.F-statistic = 0.900 p-value = 0.440 n.s.F-statistic = 4.569 p-value = 0.003 ***F-statistic = 4.659 p-value = 0.003 ***
DBF-statistic = 1.369 p-value = 0.250 n.s.F-statistic = 0.847 p-value = 0.468 n.s.F-statistic = 3.295 p-value = 0.020 **F-statistic = 2.762 p-value = 0.041 **
MP&UAF-statistic = 3.317 p-value = 0.019 **F-statistic = 2.871 p-value = 0.035 **F-statistic = 1.748 p-value = 0.155 n.s.F-statistic = 3.670 p-value = 0.012 **

Regression results—only monthly dummies

Dependent variableMonth independent variableALLDBMP&UA
Coef.t-Stat.Sig.Coef.t-Stat.Sig.Coef.t-Stat.Sig.
GoldJan0.05041.44 0.01490.35 0.13762.28**
Aug0.05221.49 0.03090.73 0.11021.75*
Sep0.04931.38 0.11282.64***–0.1247–1.94*
Nov0.04101.15 0.09362.19**–0.1022–1.60
SilverJan0.10841.70*0.10131.34 0.12581.06
Jun–0.1543–2.41**–0.1695–2.24**–0.1163–0.97
Jul0.10361.64 0.06170.83 0.20871.76*
Sep–0.0040–0.06 0.10581.40 –0.3051–2.42**
Nov–0.0084–0.13 0.06880.91 –0.2186–1.74*
PalladiumJan0.22322.90***0.22442.29**0.22101.78*
Feb0.19572.43**0.20001.95*0.18841.45
Jul0.10021.32 0.03730.39 0.21091.70*
Aug–0.1073–1.40 –0.1628–1.70*–0.0019–0.01
PlatinumJan0.17383.32***0.13202.02**0.24362.79***
Feb0.13692.50**0.16962.47**0.08250.90
Mar–0.0586–1.12 0.02520.38 –0.1980–2.27**
Sep–0.1190–2.24**–0.0581–0.90 –0.2356–2.54**

Regression results–monthly returns conditional on MSCI World Index

Dependent variableMonth independent variableALLDBMP&UA
Coef.t-Stat.Sig.Coef.t-Stat.Sig.Coef.t-Stat.Sig.
GoldMSCI0.114710.34***0.11378.35***0.11566.16***
Jan0.04931.42 0.01460.34 0.13442.24**
Aug0.05331.53 0.03140.75 0.11281.80*
Sep0.05431.53 0.11732.76***–0.1187–1.86*
Nov0.03400.96 0.08722.05**–0.1107–1.74*
SilverMSCI0.243112.06***0.20308.41***0.33379.12***
Jan0.10601.68*0.10081.34 0.11641.00
Jun–0.1499–2.35**–0.1646–2.18**–0.1154–0.97
Sep0.00650.10 0.11391.51 –0.2877–2.32**
Nov–0.0232–0.36 0.05730.76 –0.2433–1.96**
PalladiumMSCI0.400217.31***0.319810.93***0.542914.42***
Jan0.22693.00***0.23452.42**0.20571.71*
Feb0.19332.44**0.20402.01**0.16881.34
PlatinumMSCI0.267817.00***0.199910.21***0.387914.70***
Jan0.17623.42***0.13832.14**0.23272.76***
Feb0.13532.51**0.17202.53**0.06840.77
Mar–0.0648–1.26 0.01630.25 –0.1933–2.30**
Jun–0.0587–1.14 –0.0129–0.20 –0.1430–1.67*
Sep–0.1065–2.04**–0.0494–0.77 –0.2154–2.40**
Nov0.00850.16 0.08891.38 –0.1509–1.69*
DOI: https://doi.org/10.2478/ijme-2024-0011 | Journal eISSN: 2543-5361 | Journal ISSN: 2299-9701
Language: English
Page range: 157 - 172
Submitted on: Oct 18, 2023
Accepted on: Mar 4, 2024
Published on: Apr 18, 2024
Published by: Warsaw School of Economics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Marcin Potrykus, Urszula Augustynowicz, published by Warsaw School of Economics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.