Dl Industries Adr Stock Market Value
DLNDY Stock | USD 2.58 0.04 1.53% |
Symbol | DLNDY |
DL Industries '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 DL Industries' 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 DL Industries.
03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in DL Industries on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding DL Industries ADR or generate 0.0% return on investment in DL Industries over 30 days. DL Industries is related to or competes with Air Liquide, Sherwin Williams, Ecolab, Air Products, Dupont De, and PPG Industries. DL Industries, Inc. provides products for food ingredients, oleochemicals for personal and home care use, raw materials ... More
DL Industries 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 DL Industries' 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 DL Industries ADR upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.07) | |||
Maximum Drawdown | 14.95 | |||
Value At Risk | (5.32) | |||
Potential Upside | 4.98 |
DL Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DL Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DL Industries' standard deviation. In reality, there are many statistical measures that can use DL Industries historical prices to predict the future DL Industries' volatility.Risk Adjusted Performance | (0.02) | |||
Jensen Alpha | (0.20) | |||
Total Risk Alpha | (0.53) | |||
Treynor Ratio | (0.14) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DL Industries' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
DL Industries ADR Backtested Returns
DL Industries ADR retains Efficiency (Sharpe Ratio) of -0.0418, which denotes the company had a -0.0418% return per unit of price deviation over the last 3 months. DL Industries exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DL Industries' Market Risk Adjusted Performance of (0.13), information ratio of (0.07), and Standard Deviation of 2.97 to check the risk estimate we provide. The firm owns a Beta (Systematic Risk) of 0.9, which means possible diversification benefits within a given portfolio. DL Industries returns are very sensitive to returns on the market. As the market goes up or down, DL Industries is expected to follow. DL Industries ADR has an expected return of -0.12%. Please make sure to confirm DL Industries ADR jensen alpha, as well as the relationship between the kurtosis and period momentum indicator , to decide if DL Industries ADR performance from the past will be repeated sooner or later.
Auto-correlation | 0.05 |
Virtually no predictability
DL Industries ADR has virtually no predictability. Overlapping area represents the amount of predictability between DL Industries time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 DL Industries ADR price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current DL Industries price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.05 | |
Spearman Rank Test | 0.4 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
DL Industries ADR lagged returns against current returns
Autocorrelation, which is DL Industries 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 DL Industries' pink sheet expected returns. We can calculate the autocorrelation of DL Industries returns to help us make a trade decision. For example, suppose you find that DL Industries 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 |
DL Industries 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 DL Industries pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DL Industries pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DL Industries pink sheet over time.
Current vs Lagged Prices |
Timeline |
DL Industries Lagged Returns
When evaluating DL Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DL Industries pink sheet have on its future price. DL Industries 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, DL Industries autocorrelation shows the relationship between DL Industries pink sheet current value and its past values and can show if there is a momentum factor associated with investing in DL Industries ADR.
Regressed Prices |
Timeline |
Pair Trading with DL Industries
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 DL Industries 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 DL Industries will appreciate offsetting losses from the drop in the long position's value.Moving against DLNDY Pink Sheet
0.48 | EC | Ecopetrol SA ADR Financial Report 8th of May 2024 | PairCorr |
0.45 | DD | Dupont De Nemours Earnings Call This Week | PairCorr |
0.42 | GVDNY | Givaudan SA ADR | PairCorr |
The ability to find closely correlated positions to DL Industries could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DL Industries 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 DL Industries - 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 DL Industries ADR to buy it.
The correlation of DL Industries 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 DL Industries moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if DL Industries ADR 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 DL Industries 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.Check out DL Industries Correlation, DL Industries Volatility and DL Industries Alpha and Beta module to complement your research on DL Industries. Note that the DL Industries ADR information on this page should be used as a complementary analysis to other DL Industries' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Complementary Tools for DLNDY Pink Sheet analysis
When running DL Industries' price analysis, check to measure DL Industries' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy DL Industries is operating at the current time. Most of DL Industries' value examination focuses on studying past and present price action to predict the probability of DL Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DL Industries' price. Additionally, you may evaluate how the addition of DL Industries to your portfolios can decrease your overall portfolio volatility.
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DL Industries technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.