Description

Walmart Inc. engages in the retail and wholesale operations in various formats worldwide. The company operates in three segments: Walmart U.S., Walmart International, and Sam's Club. It operates supercenters, supermarkets, hypermarkets, warehouse clubs, cash and carry stores, discount stores, drugstores, and convenience stores; membership-only warehouse clubs; ecommerce websites, such as walmart.com, walmart.com.mx, asda.com, walmart.ca, flipkart.com, and samsclub.com; and mobile commerce applications. The company offers grocery products, including meat, produce, natural and organics, deli and bakery, dairy, frozen foods, alcoholic and nonalcoholic beverages, and floral and dry grocery, as well as consumables, such as health and beauty aids, baby products, household chemicals, paper goods, and pet supplies; and health and wellness products. It also provides electronics, cameras and supplies, photo processing services, wireless, movies, music, video games, and books; stationery, automotive, hardware and paint, sporting goods, and outdoor living and horticulture; apparel for women, girls, men, boys, and infants, as well as shoes, jewelry, and accessories; and home furnishings, housewares and small appliances, bedding, home decor, toys, fabrics, crafts, and seasonal merchandise, as well as brand name merchandise. In addition, the company offers fuel and financial services and related products, including money orders, prepaid cards, money transfers, check cashing, and bill payment. It operates approximately 11,500 stores and various e-commerce Websites under the 56 banners in 27 countries. The company was formerly known as Wal-Mart Stores, Inc. and changed its name to Walmart Inc. in February 2018. Walmart Inc. was founded in 1945 and is based in Bentonville, Arkansas.

Statistics (YTD)

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TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Applying this definition to our asset in some examples:
  • The total return, or performance over 5 years of Walmart is 185.5%, which is larger, thus better compared to the benchmark SPY (89.4%) in the same period.
  • During the last 3 years, the total return, or increase in value is 161.3%, which is larger, thus better than the value of 76.1% from the benchmark.

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Using this definition on our asset we see for example:
  • The annual return (CAGR) over 5 years of Walmart is 23.4%, which is larger, thus better compared to the benchmark SPY (13.7%) in the same period.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 37.9%, which is higher, thus better than the value of 20.9% from the benchmark.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Using this definition on our asset we see for example:
  • The 30 days standard deviation over 5 years of Walmart is 21%, which is greater, thus worse compared to the benchmark SPY (17.1%) in the same period.
  • Looking at 30 days standard deviation in of 20.4% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (15.2%).

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

Which means for our asset as example:
  • The downside risk over 5 years of Walmart is 14.5%, which is greater, thus worse compared to the benchmark SPY (11.8%) in the same period.
  • Compared with SPY (10.2%) in the period of the last 3 years, the downside deviation of 13.1% is higher, thus worse.

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.65) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 1 of Walmart is greater, thus better.
  • Looking at risk / return profile (Sharpe) in of 1.73 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (1.21).

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Which means for our asset as example:
  • The excess return divided by the downside deviation over 5 years of Walmart is 1.45, which is greater, thus better compared to the benchmark SPY (0.95) in the same period.
  • Looking at downside risk / excess return profile in of 2.71 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (1.81).

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Which means for our asset as example:
  • The Ulcer Ratio over 5 years of Walmart is 7.83 , which is lower, thus better compared to the benchmark SPY (8.42 ) in the same period.
  • Looking at Ulcer Index in of 5.14 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (3.42 ).

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -25.7 days of Walmart is smaller, thus worse.
  • Looking at maximum DrawDown in of -21.9 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-18.8 days).

MaxDuration:

'The Maximum Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Applying this definition to our asset in some examples:
  • Looking at the maximum days below previous high of 287 days in the last 5 years of Walmart, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
  • During the last 3 years, the maximum days under water is 147 days, which is higher, thus worse than the value of 87 days from the benchmark.

AveDuration:

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

Using this definition on our asset we see for example:
  • Looking at the average days below previous high of 64 days in the last 5 years of Walmart, we see it is relatively smaller, thus better in comparison to the benchmark SPY (119 days)
  • Looking at average days below previous high in of 27 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (19 days).

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of Walmart are hypothetical and do not account for slippage, fees or taxes.