Csw Industrials Stock Market Value
| CSWI Stock | USD 241.94 5.69 2.30% |
| Symbol | CSW |
CSW Industrials Price To Book Ratio
Is CSW Industrials' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of CSW Industrials. If investors know CSW will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about CSW Industrials listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.41) | Dividend Share 0.74 | Earnings Share 6.24 | Revenue Per Share 50.102 | Quarterly Revenue Growth 0.023 |
The market value of CSW Industrials is measured differently than its book value, which is the value of CSW that is recorded on the company's balance sheet. Investors also form their own opinion of CSW Industrials' value that differs from its market value or its book value, called intrinsic value, which is CSW Industrials' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because CSW Industrials' market value can be influenced by many factors that don't directly affect CSW Industrials' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between CSW Industrials' value and its price as these two are different measures arrived at by different means. Investors typically determine if CSW Industrials is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, CSW Industrials' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
CSW Industrials '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 CSW Industrials' 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 CSW Industrials.
| 04/14/2024 |
| 05/14/2024 |
If you would invest 0.00 in CSW Industrials on April 14, 2024 and sell it all today you would earn a total of 0.00 from holding CSW Industrials or generate 0.0% return on investment in CSW Industrials over 30 days. CSW Industrials is related to or competes with Graham, Enerpac Tool, Kadant, Omega Flex, Helios Technologies, Enpro Industries, and Hurco Companies. CSW Industrials, Inc. operates as a diversified industrial company in the United States and internationally More
CSW Industrials 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 CSW Industrials' 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 CSW Industrials upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.51 | |||
| Information Ratio | 0.0189 | |||
| Maximum Drawdown | 6.03 | |||
| Value At Risk | (2.30) | |||
| Potential Upside | 2.18 |
CSW Industrials Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CSW Industrials' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CSW Industrials' standard deviation. In reality, there are many statistical measures that can use CSW Industrials historical prices to predict the future CSW Industrials' volatility.| Risk Adjusted Performance | 0.054 | |||
| Jensen Alpha | 0.1153 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0175 | |||
| Treynor Ratio | (0.44) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CSW Industrials' 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.
CSW Industrials Backtested Returns
We consider CSW Industrials very steady. CSW Industrials secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the company had a 0.11% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for CSW Industrials, which you can use to evaluate the volatility of the firm. Please confirm CSW Industrials' mean deviation of 1.1, and Risk Adjusted Performance of 0.054 to double-check if the risk estimate we provide is consistent with the expected return of 0.15%. CSW Industrials has a performance score of 8 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.22, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning CSW Industrials are expected to decrease at a much lower rate. During the bear market, CSW Industrials is likely to outperform the market. CSW Industrials currently shows a risk of 1.32%. Please confirm CSW Industrials potential upside, as well as the relationship between the kurtosis and day typical price , to decide if CSW Industrials will be following its price patterns.
Auto-correlation | 0.53 |
Modest predictability
CSW Industrials has modest predictability. Overlapping area represents the amount of predictability between CSW Industrials time series from 14th of April 2024 to 29th of April 2024 and 29th of April 2024 to 14th of May 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 CSW Industrials price movement. The serial correlation of 0.53 indicates that about 53.0% of current CSW Industrials price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.53 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 15.5 |
CSW Industrials lagged returns against current returns
Autocorrelation, which is CSW Industrials 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 CSW Industrials' stock expected returns. We can calculate the autocorrelation of CSW Industrials returns to help us make a trade decision. For example, suppose you find that CSW Industrials 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 |
CSW Industrials 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 CSW Industrials stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CSW Industrials stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CSW Industrials stock over time.
Current vs Lagged Prices |
| Timeline |
CSW Industrials Lagged Returns
When evaluating CSW Industrials' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CSW Industrials stock have on its future price. CSW Industrials 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, CSW Industrials autocorrelation shows the relationship between CSW Industrials stock current value and its past values and can show if there is a momentum factor associated with investing in CSW Industrials.
Regressed Prices |
| Timeline |
Pair Trading with CSW Industrials
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 CSW Industrials 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 CSW Industrials will appreciate offsetting losses from the drop in the long position's value.Moving together with CSW Stock
| 0.8 | CR | Crane Company | PairCorr |
Moving against CSW Stock
| 0.5 | RR | Richtech Robotics Class | PairCorr |
| 0.47 | ATS | ATS Corporation | PairCorr |
| 0.45 | CYD | China Yuchai Interna | PairCorr |
The ability to find closely correlated positions to CSW Industrials could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CSW Industrials 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 CSW Industrials - 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 CSW Industrials to buy it.
The correlation of CSW Industrials 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 CSW Industrials moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CSW Industrials 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 CSW Industrials 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 CSW Industrials Correlation, CSW Industrials Volatility and CSW Industrials Alpha and Beta module to complement your research on CSW Industrials. For more detail on how to invest in CSW Stock please use our How to Invest in CSW Industrials guide.You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Complementary Tools for CSW Stock analysis
When running CSW Industrials' price analysis, check to measure CSW Industrials' 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 CSW Industrials is operating at the current time. Most of CSW Industrials' value examination focuses on studying past and present price action to predict the probability of CSW Industrials' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CSW Industrials' price. Additionally, you may evaluate how the addition of CSW Industrials to your portfolios can decrease your overall portfolio volatility.
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CSW Industrials technical stock 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, stock market cycles, or different charting patterns.