Polaris Industries Stock Market Value
| PII Stock | USD 89.60 0.95 1.05% |
| Symbol | Polaris |
Polaris Industries Price To Book Ratio
Is Polaris Industries' 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 Polaris Industries. If investors know Polaris 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 Polaris Industries 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 (0.46) | Dividend Share 2.6 | Earnings Share 8.71 | Revenue Per Share 157.877 | Quarterly Revenue Growth (0.04) |
The market value of Polaris Industries is measured differently than its book value, which is the value of Polaris that is recorded on the company's balance sheet. Investors also form their own opinion of Polaris Industries' value that differs from its market value or its book value, called intrinsic value, which is Polaris Industries' 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 Polaris Industries' market value can be influenced by many factors that don't directly affect Polaris Industries' 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 Polaris Industries' value and its price as these two are different measures arrived at by different means. Investors typically determine if Polaris Industries is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Polaris Industries' 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.
Polaris 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 Polaris Industries' 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 Polaris Industries.
| 07/21/2023 |
| 04/16/2024 |
If you would invest 0.00 in Polaris Industries on July 21, 2023 and sell it all today you would earn a total of 0.00 from holding Polaris Industries or generate 0.0% return on investment in Polaris Industries over 270 days. Polaris Industries is related to or competes with LCI Industries, Winnebago Industries, Thor Industries, and EZGO Technologies. Polaris Inc. designs, engineers, manufactures, and markets power sports vehicles worldwide More
Polaris 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 Polaris Industries' 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 Polaris Industries upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.91 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 9.35 | |||
| Value At Risk | (2.74) | |||
| Potential Upside | 2.35 |
Polaris Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Polaris Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Polaris Industries' standard deviation. In reality, there are many statistical measures that can use Polaris Industries historical prices to predict the future Polaris Industries' volatility.| Risk Adjusted Performance | 0.01 | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 1.0E-4 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Polaris 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.
Polaris Industries Backtested Returns
We consider Polaris Industries very steady. Polaris Industries maintains Sharpe Ratio (i.e., Efficiency) of 0.013, which implies the firm had a 0.013% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Polaris Industries, which you can use to evaluate the volatility of the company. Please check Polaris Industries' Risk Adjusted Performance of 0.01, semi deviation of 1.87, and Coefficient Of Variation of 16602.91 to confirm if the risk estimate we provide is consistent with the expected return of 0.0218%. Polaris Industries has a performance score of 1 on a scale of 0 to 100. The company holds a Beta of 1.54, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Polaris Industries will likely underperform. Polaris Industries right now holds a risk of 1.68%. Please check Polaris Industries treynor ratio, kurtosis, period momentum indicator, as well as the relationship between the downside variance and day median price , to decide if Polaris Industries will be following its historical price patterns.
Auto-correlation | -0.46 |
Modest reverse predictability
Polaris Industries has modest reverse predictability. Overlapping area represents the amount of predictability between Polaris Industries time series from 21st of July 2023 to 3rd of December 2023 and 3rd of December 2023 to 16th 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 Polaris Industries price movement. The serial correlation of -0.46 indicates that about 46.0% of current Polaris Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 9.52 |
Polaris Industries lagged returns against current returns
Autocorrelation, which is Polaris Industries 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 Polaris Industries' stock expected returns. We can calculate the autocorrelation of Polaris Industries returns to help us make a trade decision. For example, suppose you find that Polaris Industries 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 |
Polaris 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 Polaris Industries stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Polaris Industries stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Polaris Industries stock over time.
Current vs Lagged Prices |
| Timeline |
Polaris Industries Lagged Returns
When evaluating Polaris Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Polaris Industries stock have on its future price. Polaris 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, Polaris Industries autocorrelation shows the relationship between Polaris Industries stock current value and its past values and can show if there is a momentum factor associated with investing in Polaris Industries.
Regressed Prices |
| Timeline |
Polaris Industries Investors Sentiment
The influence of Polaris Industries' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Polaris. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Polaris Industries' public news can be used to forecast risks associated with an investment in Polaris. The trend in average sentiment can be used to explain how an investor holding Polaris can time the market purely based on public headlines and social activities around Polaris Industries. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Polaris Industries' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Polaris Industries' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Polaris Industries' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Polaris Industries.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Polaris Industries in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Polaris Industries' short interest history, or implied volatility extrapolated from Polaris Industries options trading.
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Check out Polaris Industries Correlation, Polaris Industries Volatility and Polaris Industries Alpha and Beta module to complement your research on Polaris Industries. For more detail on how to invest in Polaris Stock please use our How to Invest in Polaris Industries guide.You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Complementary Tools for Polaris Stock analysis
When running Polaris Industries' price analysis, check to measure Polaris 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 Polaris Industries is operating at the current time. Most of Polaris Industries' value examination focuses on studying past and present price action to predict the probability of Polaris Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Polaris Industries' price. Additionally, you may evaluate how the addition of Polaris Industries to your portfolios can decrease your overall portfolio volatility.
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Polaris Industries 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.