Microsectors Fang Index Etf Volatility
| FNGD Etf | USD 15.20 0.98 6.06% |
MicroSectors FANG appears to be somewhat reliable, given 3 months investment horizon. MicroSectors FANG Index has Sharpe Ratio of 0.0953, which conveys that the entity had a 0.0953 % return per unit of risk over the last 3 months. By analyzing MicroSectors FANG's technical indicators, you can evaluate if the expected return of 0.52% is justified by implied risk. Please exercise MicroSectors FANG's Risk Adjusted Performance of 0.0943, mean deviation of 4.24, and Downside Deviation of 5.01 to check out if our risk estimates are consistent with your expectations. Key indicators related to MicroSectors FANG's volatility include:
90 Days Market Risk | Chance Of Distress | 90 Days Economic Sensitivity |
MicroSectors FANG Etf 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 MicroSectors daily returns, and it is calculated using variance and standard deviation. We also use MicroSectors's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of MicroSectors FANG volatility.
MicroSectors |
Downward market volatility can be a perfect environment for investors who play the long game with MicroSectors FANG. They may decide to buy additional shares of MicroSectors FANG at lower prices to lower the average cost per share, thereby improving their portfolio's performance when markets normalize.
Moving together with MicroSectors Etf
| 0.97 | SH | ProShares Short SP500 | PairCorr |
| 0.98 | PSQ | ProShares Short QQQ | PairCorr |
| 0.97 | SPXU | ProShares UltraPro Short Downward Rally | PairCorr |
| 0.97 | SDS | ProShares UltraShort | PairCorr |
| 0.97 | SPXS | Direxion Daily SP Downward Rally | PairCorr |
| 0.98 | QID | ProShares UltraShort QQQ | PairCorr |
| 0.94 | RWM | ProShares Short Russ | PairCorr |
| 0.97 | SPDN | Direxion Daily SP | PairCorr |
| 0.95 | TAIL | Cambria Tail Risk | PairCorr |
Moving against MicroSectors Etf
| 0.98 | VTI | Vanguard Total Stock | PairCorr |
| 0.98 | VUG | Vanguard Growth Index | PairCorr |
| 0.97 | SPY | SPDR SP 500 Aggressive Push | PairCorr |
| 0.97 | IVV | iShares Core SP | PairCorr |
| 0.94 | VB | Vanguard Small Cap | PairCorr |
| 0.91 | VO | Vanguard Mid Cap | PairCorr |
| 0.52 | VTV | Vanguard Value Index | PairCorr |
MicroSectors FANG Market Sensitivity And Downside Risk
MicroSectors FANG's beta coefficient measures the volatility of MicroSectors etf 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 MicroSectors etf's returns against your selected market. In other words, MicroSectors FANG's beta of 0.52 provides an investor with an approximation of how much risk MicroSectors FANG etf can potentially add to one of your existing portfolios. MicroSectors FANG Index exhibits above-average semi-deviation for your current time horizon. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure MicroSectors FANG's etf risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact MicroSectors FANG's etf 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 MicroSectors FANG Index Demand TrendCheck current 90 days MicroSectors FANG correlation with market (Dow Jones Industrial)MicroSectors Beta |
MicroSectors 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 | 5.44 |
It is essential to understand the difference between upside risk (as represented by MicroSectors FANG's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of MicroSectors FANG's daily returns or price. Since the actual investment returns on holding a position in microsectors etf 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 MicroSectors FANG.
MicroSectors FANG Index Etf Volatility Analysis
Volatility refers to the frequency at which MicroSectors FANG etf price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with MicroSectors FANG's price changes. Investors will then calculate the volatility of MicroSectors FANG's etf to predict their future moves. A etf that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A etf with relatively stable price changes has low volatility. A highly volatile etf 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 MicroSectors FANG's volatility:
Historical Volatility
This type of etf volatility measures MicroSectors FANG's fluctuations based on previous trends. It's commonly used to predict MicroSectors FANG's future behavior based on its past. However, it cannot conclusively determine the future direction of the etf.Implied Volatility
This type of volatility provides a positive outlook on future price fluctuations for MicroSectors FANG's current market price. This means that the etf will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on MicroSectors FANG'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. MicroSectors FANG Index 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.
MicroSectors FANG Projected Return Density Against Market
Given the investment horizon of 90 days MicroSectors FANG has a beta of 0.5194 . This usually indicates as returns on the market go up, MicroSectors FANG average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding MicroSectors FANG Index 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 MicroSectors FANG or BMO Capital Markets 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 MicroSectors FANG's price will be affected by overall etf 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 MicroSectors etf'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.
MicroSectors FANG Index has an alpha of 0.527, implying that it can generate a 0.53 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Predicted Return Density |
| Returns |
What Drives a MicroSectors FANG Price Volatility?
Several factors can influence a etf'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.MicroSectors FANG Etf Risk Measures
Given the investment horizon of 90 days the coefficient of variation of MicroSectors FANG is 1049.69. The daily returns are distributed with a variance of 29.57 and standard deviation of 5.44. The mean deviation of MicroSectors FANG Index is currently at 4.24. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.9
α | Alpha over Dow Jones | 0.53 | |
β | Beta against Dow Jones | 0.52 | |
σ | Overall volatility | 5.44 | |
Ir | Information ratio | 0.10 |
MicroSectors FANG Etf Return Volatility
MicroSectors FANG historical daily return volatility represents how much of MicroSectors FANG etf's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The fund inherits 5.4381% risk (volatility on return distribution) over the 90 days horizon. By contrast, Dow Jones Industrial accepts 0.8496% volatility on return distribution over the 90 days horizon. Performance |
| Timeline |
About MicroSectors FANG Volatility
Volatility is a rate at which the price of MicroSectors FANG 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 MicroSectors FANG may increase or decrease. In other words, similar to MicroSectors's beta indicator, it measures the risk of MicroSectors FANG and helps estimate the fluctuations that may happen in a short period of time. So if prices of MicroSectors FANG 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 notes are intended to be daily trading tools for sophisticated investors to manage daily trading risks as part of an overall diversified portfolio. Microsectors Fang is traded on NYSEARCA Exchange in the United States.
MicroSectors FANG'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 MicroSectors Etf over a specified period of time, often expressed as the standard deviation of daily returns. In other words, it measures how much MicroSectors FANG's price varies over time.
3 ways to utilize MicroSectors FANG's volatility to invest better
Higher MicroSectors FANG's etf volatility means that the price of its stock is changing rapidly and unpredictably, while lower stock volatility indicates that the price of MicroSectors FANG Index etf 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. MicroSectors FANG Index etf 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 MicroSectors FANG Index investment. A higher volatility means higher risk and potentially larger changes in value.
- Identifying Opportunities: High volatility in MicroSectors FANG's etf 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 MicroSectors FANG's etf relates to your other investments can help you create a well-diversified portfolio of assets with varying levels of risk.
MicroSectors FANG Investment Opportunity
MicroSectors FANG Index has a volatility of 5.44 and is 6.4 times more volatile than Dow Jones Industrial. Compared to the overall equity markets, volatility of historical daily returns of MicroSectors FANG Index is lower than 48 percent of all global equities and portfolios over the last 90 days. You can use MicroSectors FANG Index to protect your portfolios against small market fluctuations. The etf experiences a very speculative upward sentiment. Check odds of MicroSectors FANG to be traded at $14.44 in 90 days.Significant diversification
The correlation between MicroSectors FANG Index and DJI is 0.09 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and DJI in the same portfolio, assuming nothing else is changed.
MicroSectors FANG Additional Risk Indicators
The analysis of MicroSectors FANG'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 MicroSectors FANG's investment and either accepting that risk or mitigating it. Along with some common measures of MicroSectors FANG etf'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 | 0.0943 | |||
| Market Risk Adjusted Performance | 0.9882 | |||
| Mean Deviation | 4.24 | |||
| Semi Deviation | 4.54 | |||
| Downside Deviation | 5.01 | |||
| Coefficient Of Variation | 1049.69 | |||
| Standard Deviation | 5.44 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential etfs, we recommend comparing similar etfs with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
MicroSectors FANG 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 MicroSectors FANG 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. MicroSectors FANG'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, MicroSectors FANG'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 MicroSectors FANG Index.
Other Information on Investing in MicroSectors Etf
MicroSectors FANG financial ratios help investors to determine whether MicroSectors Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in MicroSectors with respect to the benefits of owning MicroSectors FANG security.