IHUNT TECHNOLOGY (Romania) Market Value
HUNT Stock | 0.40 0.02 4.76% |
Symbol | IHUNT |
IHUNT TECHNOLOGY '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 IHUNT TECHNOLOGY'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 IHUNT TECHNOLOGY.
10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in IHUNT TECHNOLOGY on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding IHUNT TECHNOLOGY IMPORT EXPORT or generate 0.0% return on investment in IHUNT TECHNOLOGY over 30 days.
IHUNT TECHNOLOGY 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 IHUNT TECHNOLOGY'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 IHUNT TECHNOLOGY IMPORT EXPORT upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.14) | |||
Maximum Drawdown | 11.07 | |||
Value At Risk | (2.38) | |||
Potential Upside | 4.76 |
IHUNT TECHNOLOGY Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IHUNT TECHNOLOGY's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IHUNT TECHNOLOGY's standard deviation. In reality, there are many statistical measures that can use IHUNT TECHNOLOGY historical prices to predict the future IHUNT TECHNOLOGY's volatility.Risk Adjusted Performance | (0.05) | |||
Jensen Alpha | (0.22) | |||
Total Risk Alpha | (0.49) | |||
Treynor Ratio | (0.42) |
IHUNT TECHNOLOGY IMPORT Backtested Returns
IHUNT TECHNOLOGY IMPORT holds Efficiency (Sharpe) Ratio of -0.0775, which attests that the entity had a -0.0775% return per unit of volatility over the last 3 months. IHUNT TECHNOLOGY IMPORT exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IHUNT TECHNOLOGY's market risk adjusted performance of (0.41), and Risk Adjusted Performance of (0.05) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.41, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IHUNT TECHNOLOGY's returns are expected to increase less than the market. However, during the bear market, the loss of holding IHUNT TECHNOLOGY is expected to be smaller as well. At this point, IHUNT TECHNOLOGY IMPORT has a negative expected return of -0.16%. Please make sure to check out IHUNT TECHNOLOGY's value at risk, skewness, accumulation distribution, as well as the relationship between the potential upside and kurtosis , to decide if IHUNT TECHNOLOGY IMPORT performance from the past will be repeated at future time.
Auto-correlation | 0.60 |
Good predictability
IHUNT TECHNOLOGY IMPORT EXPORT has good predictability. Overlapping area represents the amount of predictability between IHUNT TECHNOLOGY time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 IHUNT TECHNOLOGY IMPORT price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current IHUNT TECHNOLOGY price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.6 | |
Spearman Rank Test | -0.28 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
IHUNT TECHNOLOGY IMPORT lagged returns against current returns
Autocorrelation, which is IHUNT TECHNOLOGY 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 IHUNT TECHNOLOGY's stock expected returns. We can calculate the autocorrelation of IHUNT TECHNOLOGY returns to help us make a trade decision. For example, suppose you find that IHUNT TECHNOLOGY 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 |
IHUNT TECHNOLOGY 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 IHUNT TECHNOLOGY stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IHUNT TECHNOLOGY stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IHUNT TECHNOLOGY stock over time.
Current vs Lagged Prices |
Timeline |
IHUNT TECHNOLOGY Lagged Returns
When evaluating IHUNT TECHNOLOGY's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IHUNT TECHNOLOGY stock have on its future price. IHUNT TECHNOLOGY 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, IHUNT TECHNOLOGY autocorrelation shows the relationship between IHUNT TECHNOLOGY stock current value and its past values and can show if there is a momentum factor associated with investing in IHUNT TECHNOLOGY IMPORT EXPORT.
Regressed Prices |
Timeline |
Pair Trading with IHUNT TECHNOLOGY
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 IHUNT TECHNOLOGY 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 IHUNT TECHNOLOGY will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to IHUNT TECHNOLOGY could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IHUNT TECHNOLOGY 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 IHUNT TECHNOLOGY - 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 IHUNT TECHNOLOGY IMPORT EXPORT to buy it.
The correlation of IHUNT TECHNOLOGY 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 IHUNT TECHNOLOGY moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IHUNT TECHNOLOGY IMPORT 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 IHUNT TECHNOLOGY 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.