Description

Baidu, Inc. provides Internet search services in China and internationally. It operates through two segments, Baidu Core and iQIYI. The Baidu Core segment offers products for uses, including Baidu App to access search, feed, and other services using mobile devices; Baidu Search to access its search and other services through its other properties and Union partners; Baidu Feed that provides users with personalized timeline based on their demographics and interests; Haokan, a short video app; and Quanmin, a flash video app for users to create and share short videos. It also provides Baidu Knows, a question-and-answer community where questions are asked, answered, and organized by users; Baidu Encyclopedia; Baidu Healthcare Wiki; Baidu Wenku; Baidu Scholar; Baidu Experience; Baidu Post Bar, a social media platform; Baidu Maps that offers locations, and intelligent routing and navigation services; Baidu Input Method Editor or Baidu IME, a Chinese-language mobile keyboard; Baijiahao; and DuerOS, a voice assistant platform. In addition, this segment offers online marketing services, which include pay for performance (P4P), an auction-based services that allow customers to bid for priority placement of paid sponsored links and reach users who search for information related to their products or services; other marketing services provides display-based marketing services and other online marketing services based on performance criteria other than cost per click; Apollo, an autonomous driving platform; and Baidu Cloud primarily provides AI solutions, cloud infrastructure, and other services to enterprises and individuals. The iQIYI segment provides online entertainment service, including original and licensed content; membership services; and online advertising services. The company was formerly known as Baidu.com, Inc. and changed its name to Baidu, Inc. in December 2008. Baidu, Inc. was founded in 2000 and 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:
  • Looking at the total return of -35.1% in the last 5 years of Baidu, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (87.2%)
  • Looking at total return, or increase in value in of -10.4% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (78.2%).

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (13.4%) in the period of the last 5 years, the annual return (CAGR) of -8.3% of Baidu is lower, thus worse.
  • Looking at compounded annual growth rate (CAGR) in of -3.6% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (21.4%).

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.'

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 historical 30 days volatility of 51.9% of Baidu is greater, thus worse.
  • Looking at volatility in of 44.3% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (15.2%).

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:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside risk of 33% of Baidu is greater, thus worse.
  • During the last 3 years, the downside deviation is 29.5%, which is higher, thus worse than the value of 10.2% from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the risk / return profile (Sharpe) of -0.21 in the last 5 years of Baidu, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.64)
  • During the last 3 years, the ratio of return and volatility (Sharpe) is -0.14, which is smaller, thus worse than the value of 1.25 from the benchmark.

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:
  • The ratio of annual return and downside deviation over 5 years of Baidu is -0.33, which is lower, thus worse compared to the benchmark SPY (0.93) in the same period.
  • Looking at ratio of annual return and downside deviation in of -0.21 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.85).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (8.45 ) in the period of the last 5 years, the Ulcer Ratio of 43 of Baidu is larger, thus worse.
  • Looking at Downside risk index in of 33 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (3.51 ).

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:
  • Looking at the maximum reduction from previous high of -63.1 days in the last 5 years of Baidu, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-24.5 days)
  • During the last 3 years, the maximum reduction from previous high is -50.7 days, which is smaller, thus worse than the value of -18.8 days from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Looking at the maximum days below previous high of 1241 days in the last 5 years of Baidu, we see it is relatively larger, thus worse in comparison to the benchmark SPY (488 days)
  • During the last 3 years, the maximum days under water is 620 days, which is greater, 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.'

Which means for our asset as example:
  • Looking at the average time in days below previous high water mark of 617 days in the last 5 years of Baidu, we see it is relatively larger, thus worse in comparison to the benchmark SPY (120 days)
  • Compared with SPY (20 days) in the period of the last 3 years, the average days under water of 266 days is greater, thus worse.

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 Baidu are hypothetical and do not account for slippage, fees or taxes.