New York (Germany) Volatility
| NYT Stock | EUR 49.13 1.63 3.21% |
At this point, New York is very steady. New York has Sharpe Ratio of 0.0126, which conveys that the firm had a 0.0126% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for New York, which you can use to evaluate the volatility of the firm. Please verify New York's Risk Adjusted Performance of 0.0113, downside deviation of 1.61, and Market Risk Adjusted Performance of 0.0064 to check out if the risk estimate we provide is consistent with the expected return of 0.021%. Key indicators related to New York's volatility include:
60 Days Market Risk | Chance Of Distress | 60 Days Economic Sensitivity |
New York 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 New daily returns, and it is calculated using variance and standard deviation. We also use New's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of New York volatility.
New |
Since volatility provides investors with entry points to take advantage of stock prices, companies, such as New York 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 New York at lower prices to lower their average cost per share. Similarly, when the prices of New York's stock rise, investors can sell out and invest the proceeds in other equities with better opportunities.
Moving against New Stock
| 0.69 | DBPD | Xtrackers ShortDAX | PairCorr |
| 0.64 | LYV | Lundin Energy AB | PairCorr |
| 0.61 | OS3 | Otello ASA | PairCorr |
| 0.6 | D7GA | NEL ASA ADR30 | PairCorr |
| 0.58 | HHX | HAMMONIA Schiffsholding | PairCorr |
New York Market Sensitivity And Downside Risk
New York's beta coefficient measures the volatility of New 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 New stock's returns against your selected market. In other words, New York's beta of -0.72 provides an investor with an approximation of how much risk New York stock can potentially add to one of your existing portfolios. The New York has relatively low volatility with skewness of -1.34 and kurtosis of 9.03. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure New York'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 New York'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 New York Demand TrendCheck current 90 days New York correlation with market (Dow Jones Industrial)New Beta |
New 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 | 1.67 |
It is essential to understand the difference between upside risk (as represented by New York's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of New York's daily returns or price. Since the actual investment returns on holding a position in new 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 New York.
New York Stock Volatility Analysis
Volatility refers to the frequency at which New York stock price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with New York's price changes. Investors will then calculate the volatility of New York'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 New York's volatility:
Historical Volatility
This type of stock volatility measures New York's fluctuations based on previous trends. It's commonly used to predict New York'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 New York'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 New York'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. New York 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.
New York Projected Return Density Against Market
Assuming the 90 days horizon The New York has a beta of -0.7242 . This indicates as returns on the benchmark increase, returns on holding New York are expected to decrease at a much lower rate. During a bear market, however, The New York is likely to outperform the market.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 New York 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 New York'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 New 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.
The New York has an alpha of 0.0901, implying that it can generate a 0.0901 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Predicted Return Density |
| Returns |
What Drives a New York 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.New York Stock Risk Measures
Assuming the 90 days horizon the coefficient of variation of New York is 7946.39. The daily returns are distributed with a variance of 2.78 and standard deviation of 1.67. The mean deviation of The New York is currently at 1.09. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.77
α | Alpha over Dow Jones | 0.09 | |
β | Beta against Dow Jones | -0.72 | |
σ | Overall volatility | 1.67 | |
Ir | Information ratio | -0.08 |
New York Stock Return Volatility
New York historical daily return volatility represents how much of New York stock's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The company shows 1.6684% volatility of returns over 90 . By contrast, Dow Jones Industrial accepts 0.7626% volatility on return distribution over the 90 days horizon. Performance |
| Timeline |
About New York Volatility
Volatility is a rate at which the price of New York 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 New York may increase or decrease. In other words, similar to New's beta indicator, it measures the risk of New York and helps estimate the fluctuations that may happen in a short period of time. So if prices of New York 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.The New York Times Company, together with its subsidiaries, provides news and information for readers and viewers across various platforms worldwide. The New York Times Company was founded in 1896 and is headquartered in New York, New York. N Y operates under Publishing classification in Germany and is traded on Frankfurt Stock Exchange. It employs 4320 people.
New York'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 New Stock over a specified period of time, often expressed as the standard deviation of daily returns. In other words, it measures how much New York's price varies over time.
3 ways to utilize New York's volatility to invest better
Higher New York's stock volatility means that the price of its stock is changing rapidly and unpredictably, while lower stock volatility indicates that the price of New York 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. New York 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 New York investment. A higher volatility means higher risk and potentially larger changes in value.
- Identifying Opportunities: High volatility in New York'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 New York's stock relates to your other investments can help you create a well-diversified portfolio of assets with varying levels of risk.
New York Investment Opportunity
The New York has a volatility of 1.67 and is 2.2 times more volatile than Dow Jones Industrial. Compared to the overall equity markets, volatility of historical daily returns of The New York is lower than 14 percent of all global equities and portfolios over the last 90 days. You can use The New York 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 New York to be traded at €47.16 in 90 days.Very good diversification
The correlation between The New York and DJI is -0.35 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding The New York and DJI in the same portfolio, assuming nothing else is changed.
New York Additional Risk Indicators
The analysis of New York'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 New York's investment and either accepting that risk or mitigating it. Along with some common measures of New York 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 | 0.0113 | |||
| Market Risk Adjusted Performance | 0.0064 | |||
| Mean Deviation | 1.0 | |||
| Semi Deviation | 1.59 | |||
| Downside Deviation | 1.61 | |||
| Coefficient Of Variation | 12435.98 | |||
| Standard Deviation | 1.57 |
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.
New York 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 New York 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. New York'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, New York'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 The New York.
Complementary Tools for New Stock analysis
When running New York's price analysis, check to measure New York'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 New York is operating at the current time. Most of New York's value examination focuses on studying past and present price action to predict the probability of New York's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move New York's price. Additionally, you may evaluate how the addition of New York to your portfolios can decrease your overall portfolio volatility.
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |