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:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Applying this definition to our asset in some examples:
  • Looking at the total return of 101.9% in the last 5 years of Walmart, we see it is relatively larger, thus better in comparison to the benchmark SPY (94.2%)
  • Looking at total return, or performance in of 53.8% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (27.9%).

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Applying this definition to our asset in some examples:
  • The compounded annual growth rate (CAGR) over 5 years of Walmart is 15.1%, which is larger, thus better compared to the benchmark SPY (14.2%) in the same period.
  • During the last 3 years, the annual return (CAGR) is 15.4%, which is larger, thus better than the value of 8.6% from the benchmark.

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Applying this definition to our asset in some examples:
  • The 30 days standard deviation over 5 years of Walmart is 22.3%, which is greater, thus worse compared to the benchmark SPY (20.9%) in the same period.
  • Looking at volatility in of 20.1% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (17.3%).

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Which means for our asset as example:
  • Looking at the downside volatility of 15.2% in the last 5 years of Walmart, we see it is relatively larger, thus worse in comparison to the benchmark SPY (15%)
  • Looking at downside deviation in of 14.8% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (12.1%).

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Using this definition on our asset we see for example:
  • Looking at the Sharpe Ratio of 0.57 in the last 5 years of Walmart, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.56)
  • During the last 3 years, the risk / return profile (Sharpe) is 0.64, which is greater, thus better than the value of 0.35 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • The excess return divided by the downside deviation over 5 years of Walmart is 0.83, which is higher, thus better compared to the benchmark SPY (0.78) in the same period.
  • During the last 3 years, the downside risk / excess return profile is 0.88, which is greater, thus better than the value of 0.5 from the benchmark.

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (9.32 ) in the period of the last 5 years, the Downside risk index of 7.87 of Walmart is lower, thus better.
  • Compared with SPY (10 ) in the period of the last 3 years, the Ulcer Index of 8.95 is lower, thus better.

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum drop from peak to valley of -25.7 days of Walmart is higher, thus better.
  • Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum drop from peak to valley of -25.7 days is lower, thus worse.

MaxDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

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

AveDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. 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.'

Applying this definition to our asset in some examples:
  • Looking at the average days below previous high of 68 days in the last 5 years of Walmart, we see it is relatively lower, thus better in comparison to the benchmark SPY (123 days)
  • Looking at average time in days below previous high water mark in of 83 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (180 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.