Description

JD.com, Inc., through its subsidiaries, operates as an e-commerce company and retail infrastructure service provider in the People's Republic of China. It operates in two segments, JD Retail and New Businesses. The company offers home appliances; mobile handsets and other digital products; desktop, laptop, and other computers, as well as printers and other office equipment; furniture and household goods; apparel; cosmetics, personal care items, and pet products; women's shoes, bags, jewelry, and luxury goods; men's shoes, sports gears, and fitness equipment; automobiles and accessories; maternal and childcare products, toys, and musical instruments; and food, beverage, and fresh produce. It also provides gifts, flowers, and plants; nutritional supplements, healthcare services, and other healthcare equipment; books, e-books, music, movie, and other media products; and virtual goods, such as online travel agency, attraction tickets, and prepaid phone and game cards, as well as industrial products and installation and maintenance services. In addition, the company offers an online marketplace for third-party merchants to sell products to customers; and transaction processing and billing and other services. Further, it provides online marketing services for suppliers, third-party merchants, and other business partners; supply chain and logistics services for various industries; and consumer financing services to individual customers, as well as online-to-offline solutions. JD.com, Inc. offers its products through its website jd.com and mobile apps, as well as directly to customers. As of December 31, 2019, JD.com, Inc. operated fulfillment centers in seven cities; and 700 warehouses in 89 cities covering various counties and districts. The company has strategic cooperation agreement with Tencent Holdings Limited. JD.com, Inc. is headquartered in Beijing, China.

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, or performance of -69.9% in the last 5 years of JD.com, we see it is relatively lower, thus worse in comparison to the benchmark SPY (88.7%)
  • During the last 3 years, the total return, or increase in value is -37.4%, which is smaller, thus worse than the value of 77.2% from the benchmark.

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:
  • Compared with the benchmark SPY (13.6%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of -21.4% of JD.com is smaller, thus worse.
  • Looking at annual performance (CAGR) in of -14.5% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (21.2%).

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:
  • Looking at the 30 days standard deviation of 53.8% in the last 5 years of JD.com, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17.1%)
  • Looking at volatility in of 46.2% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (15.1%).

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:
  • The downside risk over 5 years of JD.com is 34.8%, which is larger, thus worse compared to the benchmark SPY (11.8%) in the same period.
  • Looking at downside risk in of 30.3% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10.1%).

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:
  • The ratio of return and volatility (Sharpe) over 5 years of JD.com is -0.44, which is lower, thus worse compared to the benchmark SPY (0.65) in the same period.
  • Compared with SPY (1.23) in the period of the last 3 years, the risk / return profile (Sharpe) of -0.37 is lower, thus worse.

Sortino:

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.94) in the period of the last 5 years, the excess return divided by the downside deviation of -0.69 of JD.com is smaller, thus worse.
  • Compared with SPY (1.84) in the period of the last 3 years, the downside risk / excess return profile of -0.56 is lower, thus worse.

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:
  • Looking at the Ulcer Index of 55 in the last 5 years of JD.com, we see it is relatively larger, thus worse in comparison to the benchmark SPY (8.42 )
  • During the last 3 years, the Ulcer Index is 32 , which is greater, thus worse than the value of 3.4 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Looking at the maximum reduction from previous high of -77.6 days in the last 5 years of JD.com, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-24.5 days)
  • During the last 3 years, the maximum drop from peak to valley is -54.6 days, which is smaller, thus worse than the value of -18.8 days from the benchmark.

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'

Using this definition on our asset we see for example:
  • Looking at the maximum time in days below previous high water mark of 1255 days in the last 5 years of JD.com, we see it is relatively higher, thus worse in comparison to the benchmark SPY (488 days)
  • Looking at maximum days below previous high in of 398 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (87 days).

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.'

Using this definition on our asset we see for example:
  • Looking at the average days under water of 628 days in the last 5 years of JD.com, we see it is relatively higher, thus worse in comparison to the benchmark SPY (119 days)
  • Looking at average days below previous high in of 186 days in the period of the last 3 years, we see it is relatively greater, 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 JD.com are hypothetical and do not account for slippage, fees or taxes.