Harry Browne Permanent Portfolio To GBP: Rolling Returns

Simulation Settings
Period: January 1871 - July 2025 (~155 years)
Initial Amount: 1ÂŁ
Rebalancing: at every Jan 1st
Currency: GBP
Inflation: UK
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When holding the Harry Browne Permanent Portfolio To GBP, how long should you stay invested to have high probability to achieve a positive return?

Over the selected period (~155 years), the longest duration with a negative return was 71 months (from March 1985 to January 1991).

This indicates that, within the same timeframe, any rolling period of 72 months or more has consistently resulted in a positive return.

Understanding this metric is crucial as it highlights the importance of a safe investment horizon. Knowing the minimum duration required to likely see positive returns helps investors set realistic expectations and reinforces the strategy of staying invested through market cycles. This approach can mitigate the emotional reactions to short-term market fluctuations and enhance the likelihood of achieving financial goals.

Previous vs subsequent Returns

Is there a correlation between past and future returns over all 10-year rolling periods?

The following chart illustrates the relationship between past returns (x-axis) and subsequent returns (y-axis).

Data points are aggregated to show occurrences, and you can zoom in by clicking or drawing over the desired area.

HARRY BROWNE PERMANENT PORTFOLIO TO GBP
Previous vs Next Returns - 10 Years annualized
Time Period: 1 August 1995 - 31 July 2025 (30 Years)
Time Period: 1 January 1871 - 31 July 2025 (~155 years)
30 Years
(1995/08 - 2025/07)
All Data
(1871/01 - 2025/07)

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As of Jul 31, 2025, the annualized return of the previous 10 years has been 8.58%.

Rolling Returns

A rolling return is a measure of investment performance that calculates the return of an investment over a set period of time, with the starting date rolling forward. This approach can provide a more accurate representation of the investment's historical performance and helps investors to evaluate the investment's consistency over time.

HARRY BROWNE PERMANENT PORTFOLIO TO GBP
Annualized Rolling Returns
Annualized Rolling Returns - Inflation Adjusted
Time Period: 1 August 1995 - 31 July 2025 (30 Years)
Time Period: 1 January 1871 - 31 July 2025 (~155 years)
30 Years
(1995/08 - 2025/07)
All Data
(1871/01 - 2025/07)
UK Inflation Adjusted:

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Rolling Period Analysis

By selecting the 'Rolling Period', the chart and data will update. To study a different date range, change the simulation settings.

HARRY BROWNE PERMANENT PORTFOLIO TO GBP
Rolling Returns Chart
Rolling Returns Chart - Inflation Adjusted
Time Period: 1 January 1871 - 31 July 2025 (~155 years)
Over Time
Histogram
UK Inflation Adjusted:

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Swipe left to see all data
Worst Median Best Negative Periods
-19.34%
Dec 1989 - Nov 1990
+5.80% +58.30%
Apr 1982 - Mar 1983
17.35%
320 out of 1844
-25.24%
Nov 1989 - Oct 1990
+3.82% +51.30%
Apr 1982 - Mar 1983
30.48%
562 out of 1844
-7.37%
Dec 1986 - Nov 1988
+5.51% +40.00%
Feb 1981 - Jan 1983
7.15%
131 out of 1832
-19.22%
Jan 1916 - Dec 1917
+3.59% +29.14%
Feb 1981 - Jan 1983
24.02%
440 out of 1832
-2.54%
Jul 1929 - Jun 1932
+5.55% +32.05%
Mar 1982 - Feb 1985
3.19%
58 out of 1820
-15.11%
Jan 1915 - Dec 1917
+3.58% +25.43%
Mar 1982 - Feb 1985
18.35%
334 out of 1820
-2.75%
Nov 1986 - Oct 1990
+5.75% +29.44%
Feb 1981 - Jan 1985
1.22%
22 out of 1808
-13.17%
Feb 1914 - Jan 1918
+3.60% +21.28%
Feb 1981 - Jan 1985
14.93%
270 out of 1808
+0.31%
Apr 1920 - Mar 1925
+5.81% +23.43%
Mar 1980 - Feb 1985
0.00%
0 out of 1796
-10.56%
Jan 1913 - Dec 1917
+3.64% +14.47%
Mar 1980 - Feb 1985
13.70%
246 out of 1796
+0.23%
Feb 1985 - Jan 1991
+5.84% +23.70%
Mar 1979 - Feb 1985
0.00%
0 out of 1784
-8.61%
Oct 1912 - Sep 1918
+3.72% +13.45%
Nov 1980 - Oct 1986
12.05%
215 out of 1784
+1.82%
Sep 2000 - Aug 2007
+5.81% +21.79%
Mar 1978 - Feb 1985
0.00%
0 out of 1772
-7.25%
Apr 1911 - Mar 1918
+3.71% +11.55%
Sep 1979 - Aug 1986
11.23%
199 out of 1772
+2.18%
Sep 1888 - Aug 1896
+5.83% +19.42%
Feb 1975 - Jan 1983
0.00%
0 out of 1760
-6.17%
Jan 1910 - Dec 1917
+3.66% +10.39%
Aug 1979 - Jul 1987
10.17%
179 out of 1760
+2.25%
Sep 1887 - Aug 1896
+5.90% +19.13%
Mar 1976 - Feb 1985
0.00%
0 out of 1748
-5.22%
Oct 1909 - Sep 1918
+3.65% +9.92%
Aug 2007 - Jul 2016
8.01%
140 out of 1748
+2.35%
Sep 1886 - Aug 1896
+5.81% +19.67%
Mar 1975 - Feb 1985
0.00%
0 out of 1736
-4.24%
Feb 1909 - Jan 1919
+3.62% +9.33%
Sep 1921 - Aug 1931
8.24%
143 out of 1736
+2.55%
Sep 1882 - Aug 1893
+5.80% +19.31%
Feb 1972 - Jan 1983
0.00%
0 out of 1724
-3.59%
Jan 1907 - Dec 1917
+3.58% +8.81%
Sep 1918 - Aug 1929
7.95%
137 out of 1724
+2.57%
Aug 1881 - Jul 1893
+5.82% +18.91%
Mar 1973 - Feb 1985
0.00%
0 out of 1712
-3.30%
Feb 1906 - Jan 1918
+3.56% +8.94%
Jul 2008 - Jun 2020
8.24%
141 out of 1712
+2.64%
Jul 1881 - Jun 1894
+5.92% +19.49%
Mar 1972 - Feb 1985
0.00%
0 out of 1700
-2.84%
Feb 1906 - Jan 1919
+3.61% +8.82%
Jul 2007 - Jun 2020
6.65%
113 out of 1700
+2.57%
Sep 1882 - Aug 1896
+5.97% +18.42%
Mar 1971 - Feb 1985
0.00%
0 out of 1688
-2.22%
Apr 1905 - Mar 1919
+3.52% +7.99%
Jul 2006 - Jun 2020
6.22%
105 out of 1688
+2.62%
Sep 1881 - Aug 1896
+6.03% +17.84%
Feb 1970 - Jan 1985
0.00%
0 out of 1676
-1.77%
Feb 1903 - Jan 1918
+3.44% +8.11%
May 2005 - Apr 2020
5.37%
90 out of 1676
+2.76%
Jun 1881 - May 1897
+6.02% +16.92%
Nov 1970 - Oct 1986
0.00%
0 out of 1664
-1.60%
Oct 1902 - Sep 1918
+3.47% +7.89%
Jun 2004 - May 2020
4.33%
72 out of 1664
+3.03%
May 1881 - Apr 1898
+6.03% +16.11%
Aug 1970 - Jul 1987
0.00%
0 out of 1652
-1.33%
May 1901 - Apr 1918
+3.49% +7.24%
Feb 1919 - Jan 1936
4.06%
67 out of 1652
+3.37%
Apr 1920 - Mar 1938
+6.08% +15.90%
Mar 1967 - Feb 1985
0.00%
0 out of 1640
-0.92%
May 1901 - Apr 1919
+3.45% +7.19%
Feb 1919 - Jan 1937
3.11%
51 out of 1640
+3.37%
Jul 1881 - Jun 1900
+6.29% +15.32%
Mar 1966 - Feb 1985
0.00%
0 out of 1628
-0.75%
Apr 1899 - Mar 1918
+3.43% +6.95%
Apr 1918 - Mar 1937
3.19%
52 out of 1628
+3.58%
Dec 1887 - Nov 1907
+6.38% +14.85%
Nov 1966 - Oct 1986
0.00%
0 out of 1616
-0.54%
Feb 1899 - Jan 1919
+3.42% +6.81%
Sep 1992 - Aug 2012
2.10%
34 out of 1616
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