Heating Oil Commodity Volatility

HOUSD Commodity   2.24  0.04  1.75%   
Heating Oil holds Efficiency (Sharpe) Ratio of -0.0046, which attests that the entity had a -0.0046% return per unit of standard deviation over the last 3 months. Heating Oil exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Heating Oil's risk adjusted performance of (0), and Market Risk Adjusted Performance of 0.1382 to validate the risk estimate we provide.
  
Heating Oil Commodity 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 Heating daily returns, and it is calculated using variance and standard deviation. We also use Heating's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of Heating Oil volatility.
Downward market volatility can be a perfect environment for commodity traders who play the long game. For example, an investor can purchase Heating Oil that has halved in price over a short period. This will lower the average cost, improving your portfolio's performance when the markets normalize. Similarly, when the prices of heating oil's commodities rise, investors can sell out and invest the proceeds in other commodities with better opportunities.

Moving against Heating Commodity

  0.36MSFT Microsoft Aggressive PushPairCorr
  0.32GGII Green Globe InternationalPairCorr

Heating Oil Market Sensitivity And Downside Risk

Heating Oil's beta coefficient measures the volatility of Heating commodity 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 Heating commodity's returns against your selected market. In other words, Heating Oil's beta of -0.23 provides an investor with an approximation of how much risk Heating Oil commodity can potentially add to one of your existing portfolios. Heating Oil exhibits very low volatility with skewness of -0.1 and kurtosis of 0.15. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Heating Oil's commodity risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact Heating Oil's commodity 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 Heating Oil Demand Trend
Check current 90 days Heating Oil correlation with market (Dow Jones Industrial)

Heating Beta

    
  -0.23  
Heating 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

    
  1.95  
It is essential to understand the difference between upside risk (as represented by Heating Oil's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of Heating Oil's daily returns or price. Since the actual investment returns on holding a position in heating commodity 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 Heating Oil.

Heating Oil Commodity Volatility Analysis

Volatility refers to the frequency at which Heating Oil commodity price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with Heating Oil's price changes. Investors will then calculate the volatility of Heating Oil's commodity to predict their future moves. A commodity that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A commodity with relatively stable price changes has low volatility. A highly volatile commodity 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 Heating Oil's volatility:

Historical Volatility

This type of commodity volatility measures Heating Oil's fluctuations based on previous trends. It's commonly used to predict Heating Oil's future behavior based on its past. However, it cannot conclusively determine the future direction of the commodity.

Implied Volatility

This type of volatility provides a positive outlook on future price fluctuations for Heating Oil's current market price. This means that the commodity will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on Heating Oil'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. Heating Oil 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.

Heating Oil Projected Return Density Against Market

Assuming the 90 days horizon Heating Oil has a beta of -0.233 . This usually indicates as returns on the benchmark increase, returns on holding Heating Oil are expected to decrease at a much lower rate. During a bear market, however, Heating Oil is likely to outperform the market.
Most traded commodities, like Heating Oil, are exposed to two types of risk: systematic (i.e., market-wide) and unsystematic (i.e., specific to the commodities market). Unsystematic risk pertains to events directly impacting Heating Oil prices. This risk can be mitigated by diversifying investments across various commodities from different sectors that have low correlation with each other. Conversely, systematic risk involves price fluctuations due to broader commodity market trends and cannot be eliminated through diversification. Regardless of the number of commodities in your portfolio, market-wide risks persist. However, you can assess Heating Oil's historical responsiveness to market shifts to gauge your comfort with its price volatility. Beta and standard deviation are key metrics to guide this analysis.
Heating Oil 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.
   Predicted Return Density   
       Returns  
Heating Oil's volatility is measured either by using standard deviation or beta. Standard deviation will reflect the average amount of how heating commodity'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 a Heating Oil Price Volatility?

Several factors can influence a commodity'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 price of oil distribution companies. Similarly, any government regulation in a specific industry could negatively influence prices due to increased presure on compliance that may impact the commodity'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 commodity prices. Everything from speeches to elections may influence investors, who can directly influence the prices in any particular industry.

The Commodity's Performance

Sometimes volatility will only affect an individual commodity. For example, a revolutionary product launch or strong earnings report may attract many investors to purchase the commodity. This positive attention will raise the commodity's price.

Heating Oil Commodity Risk Measures

Assuming the 90 days horizon the coefficient of variation of Heating Oil is -21727.63. The daily returns are distributed with a variance of 3.79 and standard deviation of 1.95. The mean deviation of Heating Oil is currently at 1.48. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.76
α
Alpha over Dow Jones
-0.0022
β
Beta against Dow Jones-0.23
σ
Overall volatility
1.95
Ir
Information ratio -0.08

Heating Oil Commodity Return Volatility

Heating Oil historical daily return volatility represents how much of Heating Oil commodity's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. Heating Oil shows 1.947% volatility of returns over 90 . By contrast, Dow Jones Industrial accepts 0.7777% volatility on return distribution over the 90 days horizon.
 Performance 
       Timeline  

Heating Oil Investment Opportunity

Heating Oil has a volatility of 1.95 and is 2.5 times more volatile than Dow Jones Industrial. Compared to the overall equity markets, volatility of historical daily returns of Heating Oil is lower than 17 percent of all global equities and portfolios over the last 90 days. You can use Heating Oil to protect your portfolios against small market fluctuations. The commodity experiences a somewhat bearish sentiment, but the market may correct it shortly. Check odds of Heating Oil to be traded at 2.17 in 90 days.

Good diversification

The correlation between Heating Oil and DJI is -0.09 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Heating Oil and DJI in the same portfolio, assuming nothing else is changed.

Heating Oil Additional Risk Indicators

The analysis of Heating Oil'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 Heating Oil's investment and either accepting that risk or mitigating it. Along with some common measures of Heating Oil commodity'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 commoditys, we recommend comparing similar commoditys with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Heating Oil 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 Heating Oil 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. Heating Oil'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, Heating Oil'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 Heating Oil.