Uss Co Ltd Stock Market Value

USSJY Stock  USD 19.40  0.00  0.00%   
USS Co's market value is the price at which a share of USS Co trades on a public exchange. It measures the collective expectations of USS Co Ltd investors about its performance. USS Co is trading at 19.40 as of the 2nd of December 2024; that is No Change since the beginning of the trading day. The stock's open price was 19.4.
With this module, you can estimate the performance of a buy and hold strategy of USS Co Ltd and determine expected loss or profit from investing in USS Co over a given investment horizon. Check out USS Co Correlation, USS Co Volatility and USS Co Alpha and Beta module to complement your research on USS Co.
Symbol

Please note, there is a significant difference between USS Co's value and its price as these two are different measures arrived at by different means. Investors typically determine if USS Co is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, USS Co's 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.

USS Co '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 USS Co'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 USS Co.
0.00
11/02/2024
No Change 0.00  0.0 
In 31 days
12/02/2024
0.00
If you would invest  0.00  in USS Co on November 2, 2024 and sell it all today you would earn a total of 0.00 from holding USS Co Ltd or generate 0.0% return on investment in USS Co over 30 days. USS Co is related to or competes with Sonic Automotive, Lithia Motors, AutoNation, Asbury Automotive, Penske Automotive, and Group 1. USS Co., Ltd., together with its subsidiaries, operates and manages used vehicle auction sites in Japan More

USS Co 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 USS Co'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 USS Co Ltd upside and downside potential and time the market with a certain degree of confidence.

USS Co Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for USS Co's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as USS Co's standard deviation. In reality, there are many statistical measures that can use USS Co historical prices to predict the future USS Co's volatility.
Hype
Prediction
LowEstimatedHigh
15.5517.6119.67
Details
Intrinsic
Valuation
LowRealHigh
15.7917.8519.91
Details
Naive
Forecast
LowNextHigh
17.9019.9622.02
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
15.7817.8119.83
Details

USS Co Backtested Returns

At this stage we consider USS Pink Sheet to be not too volatile. USS Co owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0355, which indicates the firm had a 0.0355% return per unit of standard deviation over the last 3 months. We have found seventeen technical indicators for USS Co Ltd, which you can use to evaluate the volatility of the company. Please validate USS Co's risk adjusted performance of 0.0408, and Variance of 4.21 to confirm if the risk estimate we provide is consistent with the expected return of 0.0732%. USS Co has a performance score of 2 on a scale of 0 to 100. The entity has a beta of 0.57, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, USS Co's returns are expected to increase less than the market. However, during the bear market, the loss of holding USS Co is expected to be smaller as well. USS Co presently has a risk of 2.06%. Please validate USS Co market risk adjusted performance, jensen alpha, as well as the relationship between the Jensen Alpha and day median price , to decide if USS Co will be following its existing price patterns.

Auto-correlation

    
  0.72  

Good predictability

USS Co Ltd has good predictability. Overlapping area represents the amount of predictability between USS Co time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd of December 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 USS Co price movement. The serial correlation of 0.72 indicates that around 72.0% of current USS Co price fluctuation can be explain by its past prices.
Correlation Coefficient0.72
Spearman Rank Test1.0
Residual Average0.0
Price Variance1.05

USS Co lagged returns against current returns

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

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

USS Co Lagged Returns

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

Also Currently Popular

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.

Additional Tools for USS Pink Sheet Analysis

When running USS Co's price analysis, check to measure USS Co'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 USS Co is operating at the current time. Most of USS Co's value examination focuses on studying past and present price action to predict the probability of USS Co's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move USS Co's price. Additionally, you may evaluate how the addition of USS Co to your portfolios can decrease your overall portfolio volatility.