PUMA SE (Germany) Volatility
PUM Stock | EUR 45.70 1.31 2.79% |
PUMA SE appears to be very steady, given 3 months investment horizon. PUMA SE maintains Sharpe Ratio (i.e., Efficiency) of 0.14, which implies the firm had a 0.14% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for PUMA SE, which you can use to evaluate the volatility of the company. Please evaluate PUMA SE's risk adjusted performance of 0.1046, and Semi Deviation of 1.61 to confirm if our risk estimates are consistent with your expectations. Key indicators related to PUMA SE's volatility include:
30 Days Market Risk | Chance Of Distress | 30 Days Economic Sensitivity |
PUMA SE Stock volatility depicts how high the prices fluctuate around the mean (or its average) price. In other words, it is a statistical measure of the distribution of PUMA daily returns, and it is calculated using variance and standard deviation. We also use PUMA's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of PUMA SE volatility.
PUMA |
Since volatility provides investors with entry points to take advantage of stock prices, companies, such as PUMA SE can benefit from it. Downward market volatility can be a perfect environment for investors who play the long game as hey may decide to buy additional stocks of PUMA SE at lower prices to lower their average cost per share. Similarly, when the prices of PUMA SE's stock rise, investors can sell out and invest the proceeds in other equities with better opportunities.
Moving together with PUMA Stock
Moving against PUMA Stock
0.66 | BUU | DevEx Resources | PairCorr |
0.48 | NKE | Nike Inc Earnings Call This Week | PairCorr |
0.46 | NKE | Nike Inc Earnings Call This Week | PairCorr |
0.42 | DBPD | Xtrackers ShortDAX | PairCorr |
PUMA SE Market Sensitivity And Downside Risk
PUMA SE's beta coefficient measures the volatility of PUMA stock compared to the systematic risk of the entire market represented by your selected benchmark. In mathematical terms, beta represents the slope of the line through a regression of data points where each of these points represents PUMA stock's returns against your selected market. In other words, PUMA SE's beta of 0.38 provides an investor with an approximation of how much risk PUMA SE stock can potentially add to one of your existing portfolios. PUMA SE has relatively low volatility with skewness of 0.41 and kurtosis of 1.26. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure PUMA SE's stock risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact PUMA SE's stock price while adding stress to investors as they watch their shares' value plummet. This usually forces investors to rebalance their portfolios by buying different financial instruments as prices fall.
3 Months Beta |Analyze PUMA SE Demand TrendCheck current 90 days PUMA SE correlation with market (Dow Jones Industrial)PUMA Beta |
PUMA standard deviation measures the daily dispersion of prices over your selected time horizon relative to its mean. A typical volatile entity has a high standard deviation, while the deviation of a stable instrument is usually low. As a downside, the standard deviation calculates all uncertainty as risk, even when it is in your favor, such as above-average returns.
Standard Deviation | 2.23 |
It is essential to understand the difference between upside risk (as represented by PUMA SE's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of PUMA SE's daily returns or price. Since the actual investment returns on holding a position in puma stock tend to have a non-normal distribution, there will be different probabilities for losses than for gains. The likelihood of losses is reflected in the downside risk of an investment in PUMA SE.
PUMA SE Stock Volatility Analysis
Volatility refers to the frequency at which PUMA SE stock price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with PUMA SE's price changes. Investors will then calculate the volatility of PUMA SE's stock to predict their future moves. A stock that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A stock with relatively stable price changes has low volatility. A highly volatile stock is riskier, but the risk cuts both ways. Investing in highly volatile security can either be highly successful, or you may experience significant failure. There are two main types of PUMA SE's volatility:
Historical Volatility
This type of stock volatility measures PUMA SE's fluctuations based on previous trends. It's commonly used to predict PUMA SE's future behavior based on its past. However, it cannot conclusively determine the future direction of the stock.Implied Volatility
This type of volatility provides a positive outlook on future price fluctuations for PUMA SE's current market price. This means that the stock will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on PUMA SE's to be redeemed at a future date.Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. PUMA SE Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.
PUMA SE Projected Return Density Against Market
Assuming the 90 days horizon PUMA SE has a beta of 0.3804 indicating as returns on the market go up, PUMA SE average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding PUMA SE will be expected to be much smaller as well.Most traded equities are subject to two types of risk - systematic (i.e., market) and unsystematic (i.e., nonmarket or company-specific) risk. Unsystematic risk is the risk that events specific to PUMA SE or Consumer Cyclical sector will adversely affect the stock's price. This type of risk can be diversified away by owning several different stocks in different industries whose stock prices have shown a small correlation to each other. On the other hand, systematic risk is the risk that PUMA SE's price will be affected by overall stock market movements and cannot be diversified away. So, no matter how many positions you have, you cannot eliminate market risk. However, you can measure a PUMA stock's historical response to market movements and buy it if you are comfortable with its volatility direction. Beta and standard deviation are two commonly used measures to help you make the right decision.
PUMA SE has an alpha of 0.2549, implying that it can generate a 0.25 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Predicted Return Density |
Returns |
What Drives a PUMA SE Price Volatility?
Several factors can influence a stock's market volatility:Industry
Specific events can influence volatility within a particular industry. For instance, a significant weather upheaval in a crucial oil-production site may cause oil prices to increase in the oil sector. The direct result will be the rise in the stock price of oil distribution companies. Similarly, any government regulation in a specific industry could negatively influence stock prices due to increased regulations on compliance that may impact the company's future earnings and growth.Political and Economic environment
When governments make significant decisions regarding trade agreements, policies, and legislation regarding specific industries, they will influence stock prices. Everything from speeches to elections may influence investors, who can directly influence the stock prices in any particular industry. The prevailing economic situation also plays a significant role in stock prices. When the economy is doing well, investors will have a positive reaction and hence, better stock prices and vice versa.The Company's Performance
Sometimes volatility will only affect an individual company. For example, a revolutionary product launch or strong earnings report may attract many investors to purchase the company. This positive attention will raise the company's stock price. In contrast, product recalls and data breaches may negatively influence a company's stock prices.PUMA SE Stock Risk Measures
Assuming the 90 days horizon the coefficient of variation of PUMA SE is 737.05. The daily returns are distributed with a variance of 4.99 and standard deviation of 2.23. The mean deviation of PUMA SE is currently at 1.64. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.73
α | Alpha over Dow Jones | 0.25 | |
β | Beta against Dow Jones | 0.38 | |
σ | Overall volatility | 2.23 | |
Ir | Information ratio | 0.09 |
PUMA SE Stock Return Volatility
PUMA SE historical daily return volatility represents how much of PUMA SE stock's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The company shows 2.2328% volatility of returns over 90 . By contrast, Dow Jones Industrial accepts 0.7298% volatility on return distribution over the 90 days horizon. Performance |
Timeline |
About PUMA SE Volatility
Volatility is a rate at which the price of PUMA SE or any other equity instrument increases or decreases for a given set of returns. It is measured by calculating the standard deviation of the annualized returns over a given period of time and shows the range to which the price of PUMA SE may increase or decrease. In other words, similar to PUMA's beta indicator, it measures the risk of PUMA SE and helps estimate the fluctuations that may happen in a short period of time. So if prices of PUMA SE fluctuate rapidly in a short time span, it is termed to have high volatility, and if it swings slowly in a more extended period, it is understood to have low volatility.
Please read more on our technical analysis page.PUMA SE, together with its subsidiaries, designs, develops, sells, and markets footwear, apparel, and accessories in Europe, the Middle East, Africa, the Americas and, the Asia Pacific. The company was founded in 1924 and is headquartered in Herzogenaurach, Germany. PUMA SE operates under Footwear Accessories classification in Germany and is traded on Frankfurt Stock Exchange. It employs 14767 people.
PUMA SE's stock volatility refers to the amount of uncertainty or risk involved with the size of changes in its stock's price. It is a statistical measure of the dispersion of returns on PUMA Stock over a specified period of time, often expressed as the standard deviation of daily returns. In other words, it measures how much PUMA SE's price varies over time.
3 ways to utilize PUMA SE's volatility to invest better
Higher PUMA SE's stock volatility means that the price of its stock is changing rapidly and unpredictably, while lower stock volatility indicates that the price of PUMA SE stock is relatively stable. Investors and traders use stock volatility as an indicator of risk and potential reward, as stocks with higher volatility can offer the potential for more significant returns but also come with a greater risk of losses. PUMA SE stock volatility can provide helpful information for making investment decisions in the following ways:- Measuring Risk: Volatility can be used as a measure of risk, which can help you determine the potential fluctuations in the value of PUMA SE investment. A higher volatility means higher risk and potentially larger changes in value.
- Identifying Opportunities: High volatility in PUMA SE's stock can indicate that there is potential for significant price movements, either up or down, which could present investment opportunities.
- Diversification: Understanding how the volatility of PUMA SE's stock relates to your other investments can help you create a well-diversified portfolio of assets with varying levels of risk.
PUMA SE Investment Opportunity
PUMA SE has a volatility of 2.23 and is 3.05 times more volatile than Dow Jones Industrial. Compared to the overall equity markets, volatility of historical daily returns of PUMA SE is lower than 19 percent of all global equities and portfolios over the last 90 days. You can use PUMA SE to protect your portfolios against small market fluctuations. The stock experiences an unexpected downward movement. The market is reacting to new fundamentals. Check odds of PUMA SE to be traded at 43.87 in 90 days.Average diversification
The correlation between PUMA SE and DJI is 0.12 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding PUMA SE and DJI in the same portfolio, assuming nothing else is changed.
PUMA SE Additional Risk Indicators
The analysis of PUMA SE's secondary risk indicators is one of the essential steps in making a buy or sell decision. The process involves identifying the amount of risk involved in PUMA SE's investment and either accepting that risk or mitigating it. Along with some common measures of PUMA SE stock's risk such as standard deviation, beta, or value at risk, we also provide a set of secondary indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Risk Adjusted Performance | 0.1046 | |||
Market Risk Adjusted Performance | 0.7702 | |||
Mean Deviation | 1.62 | |||
Semi Deviation | 1.61 | |||
Downside Deviation | 1.89 | |||
Coefficient Of Variation | 740.96 | |||
Standard Deviation | 2.22 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stocks, we recommend comparing similar stocks with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
PUMA SE Suggested Diversification Pairs
Pair trading is one of the very effective strategies used by professional day traders and hedge funds capitalizing on short-time and mid-term market inefficiencies. The approach is based on the fact that the ratio of prices of two correlating shares is long-term stable and oscillates around the average value. If the correlation ratio comes outside the common area, you can speculate with a high success rate that the ratio will return to the mean value and collect a profit.
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against PUMA SE as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. PUMA SE's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, PUMA SE's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to PUMA SE.
Complementary Tools for PUMA Stock analysis
When running PUMA SE's price analysis, check to measure PUMA SE's 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 PUMA SE is operating at the current time. Most of PUMA SE's value examination focuses on studying past and present price action to predict the probability of PUMA SE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PUMA SE's price. Additionally, you may evaluate how the addition of PUMA SE to your portfolios can decrease your overall portfolio volatility.
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences |