Nnrf Inc Stock Market Value
| NNRI Stock | USD 0 0.0005 27.78% |
| Symbol | NNRF |
NNRF '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 NNRF'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 NNRF.
| 02/29/2024 |
| 11/25/2024 |
If you would invest 0.00 in NNRF on February 29, 2024 and sell it all today you would earn a total of 0.00 from holding NNRF Inc or generate 0.0% return on investment in NNRF over 270 days. NNRF is related to or competes with Blackstone, BlackRock, Apollo Global, Bank of New York, Ameriprise Financial, and Ares Management. It intends to seek invest in, or merge with, businesses that offer attractive earnings and growth potential, particularl... More
NNRF 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 NNRF'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 NNRF Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 23.17 | |||
| Information Ratio | 0.066 | |||
| Maximum Drawdown | 126.39 | |||
| Value At Risk | (25.93) | |||
| Potential Upside | 27.78 |
NNRF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NNRF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NNRF's standard deviation. In reality, there are many statistical measures that can use NNRF historical prices to predict the future NNRF's volatility.| Risk Adjusted Performance | 0.066 | |||
| Jensen Alpha | 1.34 | |||
| Total Risk Alpha | (1.46) | |||
| Sortino Ratio | 0.0491 | |||
| Treynor Ratio | (1.93) |
NNRF Inc Backtested Returns
NNRF is out of control given 3 months investment horizon. NNRF Inc has Sharpe Ratio of 0.0596, which conveys that the firm had a 0.0596% return per unit of standard deviation over the last 3 months. We were able to interpolate data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.04% are justified by taking the suggested risk. Use NNRF Inc Risk Adjusted Performance of 0.066, market risk adjusted performance of (1.92), and Mean Deviation of 8.23 to evaluate company specific risk that cannot be diversified away. NNRF holds a performance score of 4 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of -0.65, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning NNRF are expected to decrease at a much lower rate. During the bear market, NNRF is likely to outperform the market. Use NNRF Inc potential upside, as well as the relationship between the kurtosis and price action indicator , to analyze future returns on NNRF Inc.
Auto-correlation | -0.1 |
Very weak reverse predictability
NNRF Inc has very weak reverse predictability. Overlapping area represents the amount of predictability between NNRF time series from 29th of February 2024 to 13th of July 2024 and 13th of July 2024 to 25th 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 NNRF Inc price movement. The serial correlation of -0.1 indicates that less than 10.0% of current NNRF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.1 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
NNRF Inc lagged returns against current returns
Autocorrelation, which is NNRF 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 NNRF's pink sheet expected returns. We can calculate the autocorrelation of NNRF returns to help us make a trade decision. For example, suppose you find that NNRF 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 |
NNRF 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 NNRF pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NNRF pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NNRF pink sheet over time.
Current vs Lagged Prices |
| Timeline |
NNRF Lagged Returns
When evaluating NNRF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NNRF pink sheet have on its future price. NNRF 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, NNRF autocorrelation shows the relationship between NNRF pink sheet current value and its past values and can show if there is a momentum factor associated with investing in NNRF Inc.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in NNRF Pink Sheet
NNRF financial ratios help investors to determine whether NNRF Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in NNRF with respect to the benefits of owning NNRF security.