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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (85.7%) in the period of the last 5 years, the total return, or increase in value of -41.8% of Baidu is lower, thus worse.
  • Looking at total return in of -20.9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (75.8%).

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:
  • Looking at the annual return (CAGR) of -10.3% in the last 5 years of Baidu, we see it is relatively lower, thus worse in comparison to the benchmark SPY (13.2%)
  • During the last 3 years, the annual performance (CAGR) is -7.6%, which is lower, thus worse than the value of 20.8% from the benchmark.

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:
  • The 30 days standard deviation over 5 years of Baidu is 52%, which is higher, thus worse compared to the benchmark SPY (17.1%) in the same period.
  • Looking at historical 30 days volatility in of 44.1% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (15.3%).

DownVol:

'Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside deviation of 33% of Baidu is larger, thus worse.
  • During the last 3 years, the downside deviation is 29.5%, which is higher, thus worse than the value of 10.3% from the benchmark.

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.'

Which means for our asset as example:
  • The risk / return profile (Sharpe) over 5 years of Baidu is -0.25, which is smaller, thus worse compared to the benchmark SPY (0.63) in the same period.
  • Compared with SPY (1.2) in the period of the last 3 years, the Sharpe Ratio of -0.23 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:
  • The ratio of annual return and downside deviation over 5 years of Baidu is -0.39, which is lower, thus worse compared to the benchmark SPY (0.91) in the same period.
  • Compared with SPY (1.78) in the period of the last 3 years, the ratio of annual return and downside deviation of -0.34 is lower, thus worse.

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:
  • The Ulcer Index over 5 years of Baidu is 44 , which is larger, thus worse compared to the benchmark SPY (8.45 ) in the same period.
  • Looking at Ulcer Index in of 33 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (3.51 ).

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:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -63.1 days of Baidu is lower, thus worse.
  • Looking at maximum reduction from previous high in of -50.7 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:
  • Looking at the maximum days below previous high of 1250 days in the last 5 years of Baidu, we see it is relatively larger, thus worse in comparison to the benchmark SPY (488 days)
  • Looking at maximum days under water in of 620 days in the period of the last 3 years, we see it is relatively higher, 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:
  • The average time in days below previous high water mark over 5 years of Baidu is 626 days, which is higher, thus worse compared to the benchmark SPY (120 days) in the same period.
  • Compared with SPY (20 days) in the period of the last 3 years, the average days under water of 267 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.