knitr::opts_chunk$set(echo = FALSE, message = FALSE, warning = FALSE, error = FALSE)
library(InvestR) library(ggplot2) library(kableExtra) data("ExampleReport") fund_bench <- combine_xts(fund, bench) fund_market <- combine_xts(fund, bench, etf_ret) plot_col <- c('firebrick', 'dodgerblue', 'goldenrod', 'seagreen3')
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viz_perf(fund_bench, plot_col = plot_col)
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Returns as of r zoo::index(fund_bench)[nrow(fund_bench)]
(periods greater
than one year are annualized)
cal_ret <- tbl_cal_perf(fund_bench) kbl <- kable(cal_ret$fmt[, 1:10], align = rep('r', 10)) kbl_in <- kable_styling(kbl, latex_options = 'striped') row_spec(kbl_in, 0, align = 'c', background = '#104E8B', color = 'white', bold = TRUE)
\vspace{15pt}
Fund Ticker r colnames(fund)[1]
mon_ret <- tbl_month_ret(fund, dig = 2) kbl <- kable(mon_ret$fmt, align = rep('r', 14)) kbl_in <- kable_styling(kbl) kbl_in <- column_spec(kbl_in, 14, bold = TRUE) row_spec(kbl_in, 0, align = 'c', background = '#104E8B', color = 'white', bold = TRUE)
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From r zoo::index(fund_bench)[1]
to r zoo::index(fund_bench)[nrow(fund_bench)]
res <- tbl_perf_stat(fund, bench, rf) kbl <- kable(res$fmt) kbl_in <- kable_styling(kbl, latex_options = 'striped') row_spec(kbl_in, 0, align = 'c', background = '#104E8B', color = 'white', bold = TRUE)
\vspace{15pt}
viz_capm(fund_bench) + scale_color_manual(values = plot_col) + theme(legend.position = 'bottom')
viz_drawdown(fund_bench, 'months') + scale_color_manual(values = plot_col) + theme(legend.position = 'bottom') viz_drawdown(fund, 'months') + scale_color_manual(values = plot_col) + theme(legend.position = 'bottom')
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r colnames(fund)[1]
10 Worst Drawdownsres <- tbl_drawdowns(fund) rownames(res$fmt) <- NULL kbl <- kable(res$fmt) kbl_in <- kable_styling(kbl, latex_options = 'striped') row_spec(kbl_in, 0, align = 'c', background = '#104E8B', color = 'white', bold = TRUE)
res <- tbl_risk_quantile(fund_bench) kbl <- kable(res$fmt) kbl_in <- kable_styling(kbl, latex_options = 'striped') row_spec(kbl_in, 0, align = 'c', background = '#104E8B', color = 'white', bold = TRUE)
r colnames(fund)[1]
Monthly Historical Value at Risk Plot
x <- change_freq(fund, 'months') viz_pdf_risk(x)
Rolling Weekly Style Analysis
res <- viz_style_drift(fund, style_ind, comp_plot = TRUE) res$style_plot
r colnames(fund)[1]
Compared to Rolling Style Portfolio
res$comp_plot
Style Weights
fact <- style_ind colnames(fact) <- c('Large Growth', 'Small Growth', 'Large Value', 'Small Value') viz_style(fund, fact) + xlab('')
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ETF Returns to Proxy Sectors - Rolling 36 Months
viz_roll_style(fund, sector, 'month', 36) + scale_fill_manual(values = c('dodgerblue', 'goldenrod', 'brown', 'seagreen', 'darkgreen', 'purple2', 'darkorange', 'darkgrey', 'navy', 'violet', 'turquoise2'))
Single Period Estimation from r zoo::index(sector)[1]
to r zoo::index(sector)[nrow(sector)]
viz_style(fund, sector)
viz_corr(fund_market, 2)
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viz_dendro(fund_market)
Max pairwise correlation estimate and varimax rotation
res <- viz_pca(fund_market) res$loadings
res$var_expl
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Fama-French 3 Factor Plus Momentum (Weekly)
kbl_mv_reg(fund_bench, ff, rf, 'weeks', net_rf_x = FALSE)
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