Tong Herr's market value is the price at which a share of Tong Herr trades on a public exchange. It measures the collective expectations of Tong Herr Resources investors about its performance. Tong Herr is selling for 1.55 as of the 17th of February 2025. This is a 0.65 percent increase since the beginning of the trading day. The stock's lowest day price was 1.55. With this module, you can estimate the performance of a buy and hold strategy of Tong Herr Resources and determine expected loss or profit from investing in Tong Herr over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
Tong
Tong Herr '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 Tong Herr's stock 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 Tong Herr.
0.00
02/28/2023
No Change 0.00
0.0
In 1 year 11 months and 22 days
02/17/2025
0.00
If you would invest 0.00 in Tong Herr on February 28, 2023 and sell it all today you would earn a total of 0.00 from holding Tong Herr Resources or generate 0.0% return on investment in Tong Herr over 720 days.
Tong Herr 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 Tong Herr's stock 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 Tong Herr Resources upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tong Herr's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tong Herr's standard deviation. In reality, there are many statistical measures that can use Tong Herr historical prices to predict the future Tong Herr's volatility.
Tong Herr Resources owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.18, which indicates the firm had a -0.18 % return per unit of risk over the last 3 months. Tong Herr Resources exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Tong Herr's Risk Adjusted Performance of (0.11), variance of 2.1, and Coefficient Of Variation of (601.49) to confirm the risk estimate we provide. The entity has a beta of -0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Tong Herr are expected to decrease at a much lower rate. During the bear market, Tong Herr is likely to outperform the market. At this point, Tong Herr Resources has a negative expected return of -0.27%. Please make sure to validate Tong Herr's jensen alpha, treynor ratio, and the relationship between the information ratio and total risk alpha , to decide if Tong Herr Resources performance from the past will be repeated at some point in the near future.
Auto-correlation
0.87
Very good predictability
Tong Herr Resources has very good predictability. Overlapping area represents the amount of predictability between Tong Herr time series from 28th of February 2023 to 23rd of February 2024 and 23rd of February 2024 to 17th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Tong Herr Resources price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current Tong Herr price fluctuation can be explain by its past prices.
Correlation Coefficient
0.87
Spearman Rank Test
0.84
Residual Average
0.0
Price Variance
0.06
Tong Herr Resources lagged returns against current returns
Autocorrelation, which is Tong Herr stock'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 Tong Herr's stock expected returns. We can calculate the autocorrelation of Tong Herr returns to help us make a trade decision. For example, suppose you find that Tong Herr has exhibited high autocorrelation historically, and you observe that the stock 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
Tong Herr 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 Tong Herr stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tong Herr stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tong Herr stock over time.
Current vs Lagged Prices
Timeline
Tong Herr Lagged Returns
When evaluating Tong Herr's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tong Herr stock have on its future price. Tong Herr 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, Tong Herr autocorrelation shows the relationship between Tong Herr stock current value and its past values and can show if there is a momentum factor associated with investing in Tong Herr Resources.
Regressed Prices
Timeline
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