Iron's market value is the price at which a share of Iron trades on a public exchange. It measures the collective expectations of Iron And Steel investors about its performance. Iron is trading at 4.15 as of the 28th of November 2024. This is a 1.43 percent down since the beginning of the trading day. The stock's lowest day price was 4.13. With this module, you can estimate the performance of a buy and hold strategy of Iron And Steel and determine expected loss or profit from investing in Iron over a given investment horizon. Check out Risk vs Return Analysis 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
Iron
Iron '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 Iron'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 Iron.
0.00
10/29/2024
No Change 0.00
0.0
In 31 days
11/28/2024
0.00
If you would invest 0.00 in Iron on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Iron And Steel or generate 0.0% return on investment in Iron over 30 days.
Iron 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 Iron'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 Iron And Steel 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 Iron's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Iron's standard deviation. In reality, there are many statistical measures that can use Iron historical prices to predict the future Iron's volatility.
Iron And Steel holds Efficiency (Sharpe) Ratio of -0.11, which attests that the entity had a -0.11% return per unit of risk over the last 3 months. Iron And Steel exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Iron's Standard Deviation of 2.34, risk adjusted performance of (0.07), and Market Risk Adjusted Performance of 40.67 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.0063, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Iron are expected to decrease at a much lower rate. During the bear market, Iron is likely to outperform the market. At this point, Iron And Steel has a negative expected return of -0.25%. Please make sure to check out Iron's value at risk, skewness, and the relationship between the maximum drawdown and potential upside , to decide if Iron And Steel performance from the past will be repeated at some point in the near future.
Auto-correlation
0.43
Average predictability
Iron And Steel has average predictability. Overlapping area represents the amount of predictability between Iron time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 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 Iron And Steel price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Iron price fluctuation can be explain by its past prices.
Correlation Coefficient
0.43
Spearman Rank Test
0.56
Residual Average
0.0
Price Variance
0.01
Iron And Steel lagged returns against current returns
Autocorrelation, which is Iron 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 Iron's stock expected returns. We can calculate the autocorrelation of Iron returns to help us make a trade decision. For example, suppose you find that Iron 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
Iron 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 Iron stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Iron stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Iron stock over time.
Current vs Lagged Prices
Timeline
Iron Lagged Returns
When evaluating Iron's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Iron stock have on its future price. Iron 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, Iron autocorrelation shows the relationship between Iron stock current value and its past values and can show if there is a momentum factor associated with investing in Iron And Steel.
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.