Ronn Inc Stock Market Value

RONN Stock   0.0004  0.0001  20.00%   
RONN's market value is the price at which a share of RONN trades on a public exchange. It measures the collective expectations of RONN Inc investors about its performance. RONN is selling at 4.0E-4 as of the 18th of December 2024; that is 20% down since the beginning of the trading day. The stock's open price was 5.0E-4.
With this module, you can estimate the performance of a buy and hold strategy of RONN Inc and determine expected loss or profit from investing in RONN over a given investment horizon. Check out Your Equity Center 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.
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RONN '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 RONN'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 RONN.
0.00
11/18/2024
No Change 0.00  0.0 
In 30 days
12/18/2024
0.00
If you would invest  0.00  in RONN on November 18, 2024 and sell it all today you would earn a total of 0.00 from holding RONN Inc or generate 0.0% return on investment in RONN over 30 days.

RONN 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 RONN'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 RONN Inc upside and downside potential and time the market with a certain degree of confidence.

RONN Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for RONN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RONN's standard deviation. In reality, there are many statistical measures that can use RONN historical prices to predict the future RONN's volatility.

RONN Inc Backtested Returns

RONN appears to be out of control, given 3 months investment horizon. RONN Inc maintains Sharpe Ratio (i.e., Efficiency) of 0.0288, which implies the firm had a 0.0288% return per unit of standard deviation over the last 3 months. By inspecting RONN's technical indicators, you can evaluate if the expected return of 0.68% is justified by implied risk. Please evaluate RONN's Risk Adjusted Performance of 0.03, semi deviation of 13.14, and Market Risk Adjusted Performance of (0.12) to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, RONN holds a performance score of 2. The company holds a Beta of -4.79, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning RONN are expected to decrease by larger amounts. On the other hand, during market turmoil, RONN is expected to outperform it. Please check RONN's value at risk, as well as the relationship between the skewness and day median price , to make a quick decision on whether RONN's historical price patterns will revert.

Auto-correlation

    
  0.15  

Insignificant predictability

RONN Inc has insignificant predictability. Overlapping area represents the amount of predictability between RONN time series from 18th of November 2024 to 3rd of December 2024 and 3rd of December 2024 to 18th 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 RONN Inc price movement. The serial correlation of 0.15 indicates that less than 15.0% of current RONN price fluctuation can be explain by its past prices.
Correlation Coefficient0.15
Spearman Rank Test0.6
Residual Average0.0
Price Variance0.0

RONN Inc lagged returns against current returns

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

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

RONN Lagged Returns

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

Pair Trading with RONN

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 RONN 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 RONN will appreciate offsetting losses from the drop in the long position's value.

Moving against RONN Pink Sheet

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The ability to find closely correlated positions to RONN could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace RONN 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 RONN - 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 RONN Inc to buy it.
The correlation of RONN 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 RONN moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if RONN Inc 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 RONN 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.
Pair CorrelationCorrelation Matching