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May 29, 2020 14:46
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get-returns.R
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| library(tidyverse) | |
| returns <- read_csv("data/returns.csv") %>% | |
| select(Year, equities_sp, treasury_10yr) %>% | |
| gather(key = "Asset", value = "Returns", -Year) %>% | |
| mutate(Asset = ifelse(Asset=="equities_sp", | |
| "Asset A: High risk, high return", | |
| "Asset B: Low risk, low return")) | |
| set.seed(123) | |
| samplingA <- function(periods){ | |
| z <- filter(returns, Asset == "Asset A: High risk, high return") %>% | |
| dplyr::sample_n(periods, replace = TRUE) %>% | |
| select(Returns) %>% | |
| mutate(Returns = Returns + 1) | |
| return((prod(z$Returns) ^ (1 / periods)) - 1) | |
| } | |
| samplingB <- function(periods){ | |
| z <- filter(returns, Asset == "Asset B: Low risk, low return") %>% | |
| dplyr::sample_n(periods, replace = TRUE) %>% | |
| select(Returns) %>% | |
| mutate(Returns = Returns + 1) | |
| return((prod(z$Returns) ^ (1 / periods)) - 1) | |
| } | |
| getReturns <- function(n){ | |
| valA <- samplingA(n) | |
| valA <- valA[0] | |
| valB <- samplingB(n) | |
| valB <- valB[0] | |
| for (i in 1:60){ | |
| zA <- samplingA(n) | |
| valA <- append(valA, zA) | |
| zB <- samplingB(n) | |
| valB <- append(valB, zB) | |
| } | |
| return(list(valA, valB)) | |
| } | |
| getOrder <- function(val, name){ | |
| tibble(returns = val) %>% | |
| arrange(desc(returns)) %>% | |
| mutate(id = rep(1:30, each=2)) %>% | |
| group_by(id) %>% | |
| summarise(returns = mean(returns)) %>% | |
| mutate(id = as.factor(id), | |
| asset = name) | |
| } | |
| getCharts <- function(n){ | |
| val <- getReturns(n) | |
| bind_rows(getOrder(val[[1]], "Asset A: High risk, high return"),getOrder(val[[2]], "Asset B: Low risk, low return")) %>% | |
| ggplot(aes(x = fct_reorder(id, returns), y = returns)) + | |
| geom_col(width = 0.5) + | |
| facet_wrap(~asset, ncol = 2) + | |
| scale_y_continuous(sec.axis = dup_axis(), labels = scales::percent_format(accuracy = 0.1)) + | |
| cowplot::theme_minimal_hgrid() + | |
| theme(axis.text.x=element_blank()) + | |
| theme(text = element_text(size = 14)) + | |
| labs(x = "Annualized Returns", y = " ", title = paste0("Investing over ",n," Year(s)")) | |
| } |
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| Year | equities_sp | treasury_3mo | treasury_10yr | |
|---|---|---|---|---|
| 1928 | 0.4381 | 0.0308 | 0.0084 | |
| 1929 | -0.083 | 0.0316 | 0.042 | |
| 1930 | -0.2512 | 0.0455 | 0.0454 | |
| 1931 | -0.4384 | 0.0231 | -0.0256 | |
| 1932 | -0.0864 | 0.0107 | 0.0879 | |
| 1933 | 0.4998 | 0.0096 | 0.0186 | |
| 1934 | -0.0119 | 0.0032 | 0.0796 | |
| 1935 | 0.4674 | 0.0018 | 0.0447 | |
| 1936 | 0.3194 | 0.0017 | 0.0502 | |
| 1937 | -0.3534 | 0.003 | 0.0138 | |
| 1938 | 0.2928 | 0.0008 | 0.0421 | |
| 1939 | -0.011 | 0.0004 | 0.0441 | |
| 1940 | -0.1067 | 0.0003 | 0.054 | |
| 1941 | -0.1277 | 0.0008 | -0.0202 | |
| 1942 | 0.1917 | 0.0034 | 0.0229 | |
| 1943 | 0.2506 | 0.0038 | 0.0249 | |
| 1944 | 0.1903 | 0.0038 | 0.0258 | |
| 1945 | 0.3582 | 0.0038 | 0.038 | |
| 1946 | -0.0843 | 0.0038 | 0.0313 | |
| 1947 | 0.052 | 0.0057 | 0.0092 | |
| 1948 | 0.057 | 0.0102 | 0.0195 | |
| 1949 | 0.183 | 0.011 | 0.0466 | |
| 1950 | 0.3081 | 0.0117 | 0.0043 | |
| 1951 | 0.2368 | 0.0148 | -0.003 | |
| 1952 | 0.1815 | 0.0167 | 0.0227 | |
| 1953 | -0.0121 | 0.0189 | 0.0414 | |
| 1954 | 0.5256 | 0.0096 | 0.0329 | |
| 1955 | 0.326 | 0.0166 | -0.0134 | |
| 1956 | 0.0744 | 0.0256 | -0.0226 | |
| 1957 | -0.1046 | 0.0323 | 0.068 | |
| 1958 | 0.4372 | 0.0178 | -0.021 | |
| 1959 | 0.1206 | 0.0326 | -0.0265 | |
| 1960 | 0.0034 | 0.0305 | 0.1164 | |
| 1961 | 0.2664 | 0.0227 | 0.0206 | |
| 1962 | -0.0881 | 0.0278 | 0.0569 | |
| 1963 | 0.2261 | 0.0311 | 0.0168 | |
| 1964 | 0.1642 | 0.0351 | 0.0373 | |
| 1965 | 0.124 | 0.039 | 0.0072 | |
| 1966 | -0.0997 | 0.0484 | 0.0291 | |
| 1967 | 0.238 | 0.0433 | -0.0158 | |
| 1968 | 0.1081 | 0.0526 | 0.0327 | |
| 1969 | -0.0824 | 0.0656 | -0.0501 | |
| 1970 | 0.0356 | 0.0669 | 0.1675 | |
| 1971 | 0.1422 | 0.0454 | 0.0979 | |
| 1972 | 0.1876 | 0.0395 | 0.0282 | |
| 1973 | -0.1431 | 0.0673 | 0.0366 | |
| 1974 | -0.259 | 0.0778 | 0.0199 | |
| 1975 | 0.37 | 0.0599 | 0.0361 | |
| 1976 | 0.2383 | 0.0497 | 0.1598 | |
| 1977 | -0.0698 | 0.0513 | 0.0129 | |
| 1978 | 0.0651 | 0.0693 | -0.0078 | |
| 1979 | 0.1852 | 0.0994 | 0.0067 | |
| 1980 | 0.3174 | 0.1122 | -0.0299 | |
| 1981 | -0.047 | 0.143 | 0.082 | |
| 1982 | 0.2042 | 0.1101 | 0.3281 | |
| 1983 | 0.2234 | 0.0845 | 0.032 | |
| 1984 | 0.0615 | 0.0961 | 0.1373 | |
| 1985 | 0.3124 | 0.0749 | 0.2571 | |
| 1986 | 0.1849 | 0.0604 | 0.2428 | |
| 1987 | 0.0581 | 0.0572 | -0.0496 | |
| 1988 | 0.1654 | 0.0645 | 0.0822 | |
| 1989 | 0.3148 | 0.0811 | 0.1769 | |
| 1990 | -0.0306 | 0.0755 | 0.0624 | |
| 1991 | 0.3023 | 0.0561 | 0.15 | |
| 1992 | 0.0749 | 0.0341 | 0.0936 | |
| 1993 | 0.0997 | 0.0298 | 0.1421 | |
| 1994 | 0.0133 | 0.0399 | -0.0804 | |
| 1995 | 0.372 | 0.0552 | 0.2348 | |
| 1996 | 0.2268 | 0.0502 | 0.0143 | |
| 1997 | 0.331 | 0.0505 | 0.0994 | |
| 1998 | 0.2834 | 0.0473 | 0.1492 | |
| 1999 | 0.2089 | 0.0451 | -0.0825 | |
| 2000 | -0.0903 | 0.0576 | 0.1666 | |
| 2001 | -0.1185 | 0.0367 | 0.0557 | |
| 2002 | -0.2197 | 0.0166 | 0.1512 | |
| 2003 | 0.2836 | 0.0103 | 0.0038 | |
| 2004 | 0.1074 | 0.0123 | 0.0449 | |
| 2005 | 0.0483 | 0.0301 | 0.0287 | |
| 2006 | 0.1561 | 0.0468 | 0.0196 | |
| 2007 | 0.0548 | 0.0464 | 0.1021 | |
| 2008 | -0.3655 | 0.0159 | 0.201 | |
| 2009 | 0.2594 | 0.0014 | -0.1112 | |
| 2010 | 0.1482 | 0.0013 | 0.0846 | |
| 2011 | 0.021 | 0.0003 | 0.1604 | |
| 2012 | 0.1589 | 0.0005 | 0.0297 | |
| 2013 | 0.3215 | 0.0007 | -0.091 | |
| 2014 | 0.1352 | 0.0005 | 0.1075 | |
| 2015 | 0.0138 | 0.0021 | 0.0128 | |
| 2016 | 0.1177 | 0.0051 | 0.0069 | |
| 2017 | 0.2161 | 0.0139 | 0.028 | |
| 2018 | -0.0423 | 0.0237 | -0.0002 |
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