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 -60.8%, which is lower, thus worse compared to the benchmark SPY (99.6%) in the same period.
  • Looking at total return, or increase in value in of -45% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (78.1%).

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 (14.9%) in the period of the last 5 years, the annual performance (CAGR) of -17.1% of JD.com is lower, thus worse.
  • Compared with SPY (21.3%) in the period of the last 3 years, the annual performance (CAGR) of -18.1% is lower, thus worse.

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:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the volatility of 54.6% of JD.com is greater, thus worse.
  • Compared with SPY (15.5%) in the period of the last 3 years, the historical 30 days volatility of 47.9% is greater, thus worse.

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 35.3% in the last 5 years of JD.com, we see it is relatively larger, thus worse in comparison to the benchmark SPY (11.8%)
  • Looking at downside risk in of 31.6% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (10.4%).

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:
  • Compared with the benchmark SPY (0.72) in the period of the last 5 years, the risk / return profile (Sharpe) of -0.36 of JD.com is lower, thus worse.
  • Looking at ratio of return and volatility (Sharpe) in of -0.43 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.21).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (1.05) in the period of the last 5 years, the ratio of annual return and downside deviation of -0.56 of JD.com is lower, thus worse.
  • Looking at downside risk / excess return profile in of -0.65 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.82).

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (8.42 ) in the period of the last 5 years, the Downside risk index of 56 of JD.com is larger, thus worse.
  • During the last 3 years, the Ulcer Ratio is 48 , which is higher, thus worse than the value of 3.57 from the benchmark.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -79.1 days of JD.com is lower, thus worse.
  • Looking at maximum reduction from previous high in of -67.1 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 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:
  • The maximum days below previous high over 5 years of JD.com is 1212 days, which is higher, thus worse compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum days below previous high is 738 days, which is larger, thus worse than the value of 87 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:
  • The average days under water over 5 years of JD.com is 591 days, which is greater, thus worse compared to the benchmark SPY (120 days) in the same period.
  • During the last 3 years, the average days below previous high is 364 days, which is higher, thus worse than the value of 21 days from the benchmark.

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.