Baidu Inc Stock Market Value
| BAIDF Stock | USD 11.73 0.51 4.17% |
| Symbol | Baidu |
Baidu 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Baidu's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Baidu.
| 02/19/2024 |
| 04/19/2024 |
If you would invest 0.00 in Baidu on February 19, 2024 and sell it all today you would earn a total of 0.00 from holding Baidu Inc or generate 0.0% return on investment in Baidu over 60 days. Baidu is related to or competes with Twilio, Snap, Alphabet, Pinterest, Hello, Weibo Corp, and DouYu International. The company offers Baidu App to access search, feed, and other services using mobile devices Baidu Search to access its ... More
Baidu Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Baidu's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Baidu Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 24.59 | |||
| Value At Risk | (6.31) | |||
| Potential Upside | 7.78 |
Baidu Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Baidu's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Baidu's standard deviation. In reality, there are many statistical measures that can use Baidu historical prices to predict the future Baidu's volatility.| Risk Adjusted Performance | 0.0028 | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Baidu's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Baidu Inc Backtested Returns
Baidu Inc secures Sharpe Ratio (or Efficiency) of -0.0119, which signifies that the company had a -0.0119% return per unit of risk over the last 3 months. Baidu Inc exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Baidu's Mean Deviation of 3.51, standard deviation of 4.83, and Risk Adjusted Performance of 0.0028 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.53, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Baidu will likely underperform. Baidu Inc has an expected return of -0.058%. Please make sure to confirm Baidu Inc total risk alpha, kurtosis, market facilitation index, as well as the relationship between the value at risk and rate of daily change , to decide if Baidu Inc performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Baidu Inc has insignificant reverse predictability. Overlapping area represents the amount of predictability between Baidu time series from 19th of February 2024 to 20th of March 2024 and 20th of March 2024 to 19th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Baidu Inc price movement. The serial correlation of -0.2 indicates that over 20.0% of current Baidu price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.58 |
Baidu Inc lagged returns against current returns
Autocorrelation, which is Baidu pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Baidu's pink sheet expected returns. We can calculate the autocorrelation of Baidu returns to help us make a trade decision. For example, suppose you find that Baidu has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Baidu regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Baidu pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Baidu pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Baidu pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Baidu Lagged Returns
When evaluating Baidu's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Baidu pink sheet have on its future price. Baidu autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Baidu autocorrelation shows the relationship between Baidu pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Baidu Inc.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Baidu in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Baidu's short interest history, or implied volatility extrapolated from Baidu options trading.
Pair Trading with Baidu
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Baidu position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Baidu will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Baidu could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Baidu when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Baidu - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Baidu Inc to buy it.
The correlation of Baidu is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Baidu moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Baidu Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Baidu can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Baidu Correlation, Baidu Volatility and Baidu Alpha and Beta module to complement your research on Baidu. Note that the Baidu Inc information on this page should be used as a complementary analysis to other Baidu's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Complementary Tools for Baidu Pink Sheet analysis
When running Baidu's price analysis, check to measure Baidu's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Baidu is operating at the current time. Most of Baidu's value examination focuses on studying past and present price action to predict the probability of Baidu's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Baidu's price. Additionally, you may evaluate how the addition of Baidu to your portfolios can decrease your overall portfolio volatility.
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Baidu technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.