Carsalescom Ltd Adr Stock Market Value

CSXXY Stock  USD 46.48  0.84  1.84%   
Carsales' market value is the price at which a share of Carsales trades on a public exchange. It measures the collective expectations of CarsalesCom Ltd ADR investors about its performance. Carsales is trading at 46.48 as of the 2nd of June 2024; that is 1.84 percent increase since the beginning of the trading day. The stock's open price was 45.64.
With this module, you can estimate the performance of a buy and hold strategy of CarsalesCom Ltd ADR and determine expected loss or profit from investing in Carsales over a given investment horizon. Check out Carsales Correlation, Carsales Volatility and Carsales Alpha and Beta module to complement your research on Carsales.
Symbol

Please note, there is a significant difference between Carsales' value and its price as these two are different measures arrived at by different means. Investors typically determine if Carsales is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Carsales' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Carsales '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 Carsales' 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 Carsales.
0.00
03/04/2024
No Change 0.00  0.0 
In 3 months and 1 day
06/02/2024
0.00
If you would invest  0.00  in Carsales on March 4, 2024 and sell it all today you would earn a total of 0.00 from holding CarsalesCom Ltd ADR or generate 0.0% return on investment in Carsales over 90 days. Carsales is related to or competes with Twilio, Snap, Alphabet, Pinterest, Hello, Weibo Corp, and DouYu International. carsales.com Ltd operates online automotive, motorcycle, and marine classifieds business in Australia, Brazil, South Kor... More

Carsales 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 Carsales' 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 CarsalesCom Ltd ADR upside and downside potential and time the market with a certain degree of confidence.

Carsales Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Carsales' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Carsales' standard deviation. In reality, there are many statistical measures that can use Carsales historical prices to predict the future Carsales' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Carsales' 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.
Hype
Prediction
LowEstimatedHigh
44.5446.4848.42
Details
Intrinsic
Valuation
LowRealHigh
40.3542.2951.13
Details
Naive
Forecast
LowNextHigh
43.2245.1647.10
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
44.1745.3646.54
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Carsales. Your research has to be compared to or analyzed against Carsales' peers to derive any actionable benefits. When done correctly, Carsales' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in CarsalesCom ADR.

CarsalesCom ADR Backtested Returns

CarsalesCom ADR secures Sharpe Ratio (or Efficiency) of -0.031, which signifies that the company had a -0.031% return per unit of risk over the last 3 months. CarsalesCom Ltd ADR exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Carsales' Downside Deviation of 4.89, mean deviation of 0.8927, and Risk Adjusted Performance of 0.0148 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.61, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Carsales' returns are expected to increase less than the market. However, during the bear market, the loss of holding Carsales is expected to be smaller as well. CarsalesCom ADR has an expected return of -0.06%. Please make sure to confirm CarsalesCom ADR sortino ratio, semi variance, rate of daily change, as well as the relationship between the value at risk and kurtosis , to decide if CarsalesCom ADR performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.78  

Almost perfect reverse predictability

CarsalesCom Ltd ADR has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Carsales time series from 4th of March 2024 to 18th of April 2024 and 18th of April 2024 to 2nd of June 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 CarsalesCom ADR price movement. The serial correlation of -0.78 indicates that around 78.0% of current Carsales price fluctuation can be explain by its past prices.
Correlation Coefficient-0.78
Spearman Rank Test-0.49
Residual Average0.0
Price Variance1.91

CarsalesCom ADR lagged returns against current returns

Autocorrelation, which is Carsales 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 Carsales' pink sheet expected returns. We can calculate the autocorrelation of Carsales returns to help us make a trade decision. For example, suppose you find that Carsales 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  

Carsales 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 Carsales pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Carsales pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Carsales pink sheet over time.
   Current vs Lagged Prices   
       Timeline  

Carsales Lagged Returns

When evaluating Carsales' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Carsales pink sheet have on its future price. Carsales 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, Carsales autocorrelation shows the relationship between Carsales pink sheet current value and its past values and can show if there is a momentum factor associated with investing in CarsalesCom Ltd ADR.
   Regressed Prices   
       Timeline  

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Check out Carsales Correlation, Carsales Volatility and Carsales Alpha and Beta module to complement your research on Carsales.
You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

Complementary Tools for Carsales Pink Sheet analysis

When running Carsales' price analysis, check to measure Carsales' 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 Carsales is operating at the current time. Most of Carsales' value examination focuses on studying past and present price action to predict the probability of Carsales' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Carsales' price. Additionally, you may evaluate how the addition of Carsales to your portfolios can decrease your overall portfolio volatility.
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Carsales 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.
A focus of Carsales technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Carsales trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...