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:

'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.'

Which means for our asset as example:
  • The total return over 5 years of JD.com is 237.7%, which is larger, thus better compared to the benchmark SPY (122.1%) in the same period.
  • During the last 3 years, the total return, or increase in value is 98.6%, which is higher, thus better than the value of 43.5% 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.'

Using this definition on our asset we see for example:
  • Looking at the compounded annual growth rate (CAGR) of 27.6% in the last 5 years of JD.com, we see it is relatively larger, thus better in comparison to the benchmark SPY (17.3%)
  • Compared with SPY (12.8%) in the period of the last 3 years, the annual return (CAGR) of 25.7% is higher, thus better.

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (18.8%) in the period of the last 5 years, the 30 days standard deviation of 41.1% of JD.com is greater, thus worse.
  • Looking at 30 days standard deviation in of 45.3% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (22.9%).

DownVol:

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

Using this definition on our asset we see for example:
  • The downside volatility over 5 years of JD.com is 27.6%, which is greater, thus worse compared to the benchmark SPY (13.6%) in the same period.
  • Compared with SPY (16.8%) in the period of the last 3 years, the downside risk of 30.5% is higher, thus worse.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.79) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.61 of JD.com is smaller, thus worse.
  • Compared with SPY (0.45) in the period of the last 3 years, the Sharpe Ratio of 0.51 is larger, thus better.

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 JD.com is 0.91, which is lower, thus worse compared to the benchmark SPY (1.09) in the same period.
  • During the last 3 years, the downside risk / excess return profile is 0.76, which is greater, thus better than the value of 0.61 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (5.59 ) in the period of the last 5 years, the Downside risk index of 27 of JD.com is greater, thus worse.
  • Looking at Downside risk index in of 33 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (7.15 ).

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.'

Applying this definition to our asset in some examples:
  • The maximum reduction from previous high over 5 years of JD.com is -61.8 days, which is smaller, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • Compared with SPY (-33.7 days) in the period of the last 3 years, the maximum DrawDown of -61.8 days is smaller, thus worse.

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.'

Which means for our asset as example:
  • The maximum days under water over 5 years of JD.com is 578 days, which is higher, thus worse compared to the benchmark SPY (139 days) in the same period.
  • During the last 3 years, the maximum days under water is 578 days, which is larger, thus worse than the value of 139 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.'

Using this definition on our asset we see for example:
  • Looking at the average time in days below previous high water mark of 168 days in the last 5 years of JD.com, we see it is relatively greater, thus worse in comparison to the benchmark SPY (33 days)
  • Compared with SPY (45 days) in the period of the last 3 years, the average days under water of 233 days is higher, thus worse.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of JD.com are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.