Inverse Dow 2x Fund Volatility

Moving together with Inverse Mutual Fund

Moving against Inverse Mutual Fund

Inverse Dow Market Sensitivity And Downside Risk

3 Months Beta |Analyze Inverse Dow 2x Demand TrendCheck current 90 days Inverse Dow correlation with market (Dow Jones Industrial)

Inverse Beta

-0.26

Standard Deviation

1.65

Inverse Dow 2x Mutual Fund Volatility Analysis

Inverse Dow Projected Return Density Against Market

Assuming the 90 days horizon Inverse Dow 2x has a beta of -0.26 indicating as returns on the benchmark increase, returns on holding Inverse Dow are expected to decrease at a much lower rate. During a bear market, however, Inverse Dow 2x is likely to outperform the market. Inverse Dow 2x has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Inverse Dow's volatility is measured either by using standard deviation or beta. Standard deviation will reflect the average amount of how inverse mutual fund's price will differ from the mean after some time.To get its calculation, you should first determine the mean price during the specified period then subtract that from each price point.

What Drives an Inverse Dow 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.

Inverse Dow Mutual Fund Risk Measures

Inverse Dow Mutual Fund Return Volatility

Inverse Dow historical daily return volatility represents how much of Inverse Dow fund's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The fund shows 1.6502% volatility of returns over 90 . By contrast, Dow Jones Industrial accepts 0.807% volatility on return distribution over the 90 days horizon.

Volatility is a rate at which the price of Inverse Dow 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 Inverse Dow may increase or decrease. In other words, similar to Inverse's beta indicator, it measures the risk of Inverse Dow and helps estimate the fluctuations that may happen in a short period of time. So if prices of Inverse Dow 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.

Inverse Dow'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 Inverse Mutual Fund over a specified period of time, often expressed as the standard deviation of daily returns. In other words, it measures how much Inverse Dow's price varies over time.

The analysis of Inverse Dow'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 Inverse Dow's investment and either accepting that risk or mitigating it. Along with some common measures of Inverse Dow 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.

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.

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 Inverse Dow 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. Inverse Dow'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, Inverse Dow'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 Inverse Dow 2x.

Inverse Dow financial ratios help investors to determine whether Inverse 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 Inverse with respect to the benefits of owning Inverse Dow security.