Power Income Fund Volatility
| PWRCX Fund | USD 9.03 0.03 0.33% |
At this stage we consider Power Mutual Fund to be very steady. Power Income maintains Sharpe Ratio (i.e., Efficiency) of 0.0862, which implies the entity had a 0.0862% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Power Income, which you can use to evaluate the volatility of the fund. Please check Power Income's Coefficient Of Variation of 1194.21, risk adjusted performance of 0.0323, and Semi Deviation of 0.0745 to confirm if the risk estimate we provide is consistent with the expected return of 0.0161%. Key indicators related to Power Income's volatility include:
690 Days Market Risk | Chance Of Distress | 690 Days Economic Sensitivity |
Power Income Mutual Fund 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 Power daily returns, and it is calculated using variance and standard deviation. We also use Power's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of Power Income volatility.
Power |
Downward market volatility can be a perfect environment for investors who play the long game with Power Income. They may decide to buy additional shares of Power Income at lower prices to lower the average cost per share, thereby improving their portfolio's performance when markets normalize.
Moving together with Power Mutual Fund
Power Income Market Sensitivity And Downside Risk
Power Income's beta coefficient measures the volatility of Power mutual fund 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 Power mutual fund's returns against your selected market. In other words, Power Income's beta of -0.0128 provides an investor with an approximation of how much risk Power Income mutual fund can potentially add to one of your existing portfolios. Power Income Fund exhibits very low volatility with skewness of 0.14 and kurtosis of 7.88. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Power Income's mutual fund risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact Power Income's mutual fund 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 Power Income Demand TrendCheck current 90 days Power Income correlation with market (Dow Jones Industrial)Power Beta |
Power 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 | 0.19 |
It is essential to understand the difference between upside risk (as represented by Power Income's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of Power Income's daily returns or price. Since the actual investment returns on holding a position in power mutual fund 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 Power Income.
Power Income Mutual Fund Volatility Analysis
Volatility refers to the frequency at which Power Income fund price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with Power Income's price changes. Investors will then calculate the volatility of Power Income's mutual fund to predict their future moves. A fund that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A mutual fund with relatively stable price changes has low volatility. A highly volatile fund 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 Power Income's volatility:
Historical Volatility
This type of fund volatility measures Power Income's fluctuations based on previous trends. It's commonly used to predict Power Income's future behavior based on its past. However, it cannot conclusively determine the future direction of the mutual fund.Implied Volatility
This type of volatility provides a positive outlook on future price fluctuations for Power Income's current market price. This means that the fund will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on Power Income'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. Power Income 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.
Power Income Projected Return Density Against Market
Assuming the 90 days horizon Power Income Fund has a beta of -0.0128 indicating as returns on the benchmark increase, returns on holding Power Income are expected to decrease at a much lower rate. During a bear market, however, Power Income Fund 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 Power Income or Donoghue Forlines LLC 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 Power Income's price will be affected by overall mutual fund 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 Power fund'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.
Power Income Fund has an alpha of 0.0068, implying that it can generate a 0.0068 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Predicted Return Density |
| Returns |
What Drives a Power Income Price Volatility?
Several factors can influence a fund'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.Power Income Mutual Fund Risk Measures
Assuming the 90 days horizon the coefficient of variation of Power Income is 1160.13. The daily returns are distributed with a variance of 0.03 and standard deviation of 0.19. The mean deviation of Power Income Fund is currently at 0.1. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.77
α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | -0.01 | |
σ | Overall volatility | 0.19 | |
Ir | Information ratio | -0.6 |
Power Income Mutual Fund Return Volatility
Power Income historical daily return volatility represents how much of Power Income fund's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The fund shows 0.1865% volatility of returns over 90 . By contrast, Dow Jones Industrial accepts 0.7444% volatility on return distribution over the 90 days horizon. Performance |
| Timeline |
About Power Income Volatility
Volatility is a rate at which the price of Power Income 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 Power Income may increase or decrease. In other words, similar to Power's beta indicator, it measures the risk of Power Income and helps estimate the fluctuations that may happen in a short period of time. So if prices of Power Income 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 fund invests in income-producing fixed income and alternative strategy exchange-traded funds . Fixed income ETFs may invest in non-investment grade fixed income securities, commonly known as high yield or junk bonds that are rated below Baa3 by Moodys Investors Service or similarly by another rating agency. It may also invest in ETFs that primarily invest in dividend-paying equity securities of U.S., foreign and emerging market issuers.
Power Income'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 Power Mutual Fund over a specified period of time, often expressed as the standard deviation of daily returns. In other words, it measures how much Power Income's price varies over time.
3 ways to utilize Power Income's volatility to invest better
Higher Power Income's fund volatility means that the price of its stock is changing rapidly and unpredictably, while lower stock volatility indicates that the price of Power Income fund 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. Power Income fund 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 Power Income investment. A higher volatility means higher risk and potentially larger changes in value.
- Identifying Opportunities: High volatility in Power Income's fund 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 Power Income's fund relates to your other investments can help you create a well-diversified portfolio of assets with varying levels of risk.
Power Income Investment Opportunity
Dow Jones Industrial has a standard deviation of returns of 0.74 and is 3.89 times more volatile than Power Income Fund. 1 percent of all equities and portfolios are less risky than Power Income. You can use Power Income Fund to enhance the returns of your portfolios. The mutual fund experiences a normal upward fluctuation. Check odds of Power Income to be traded at $9.48 in 90 days.Good diversification
The correlation between Power Income Fund and DJI is -0.05 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Power Income Fund and DJI in the same portfolio, assuming nothing else is changed.
Power Income Additional Risk Indicators
The analysis of Power Income'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 Power Income's investment and either accepting that risk or mitigating it. Along with some common measures of Power Income mutual fund'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 | 0.0323 | |||
| Market Risk Adjusted Performance | (0.41) | |||
| Mean Deviation | 0.0994 | |||
| Semi Deviation | 0.0745 | |||
| Downside Deviation | 0.3125 | |||
| Coefficient Of Variation | 1194.21 | |||
| Standard Deviation | 0.1832 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential mutual funds, we recommend comparing similar funds with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Power Income 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.
| Visa vs. Power Income | ||
| Salesforce vs. Power Income | ||
| Alphabet vs. Power Income | ||
| GM vs. Power Income | ||
| Ford vs. Power Income | ||
| Bank of America vs. Power Income | ||
| Microsoft vs. Power Income | ||
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 Power Income 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. Power Income'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, Power Income'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 Power Income Fund.
Other Information on Investing in Power Mutual Fund
Power Income financial ratios help investors to determine whether Power Mutual Fund 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 Power with respect to the benefits of owning Power Income security.
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |