EXPNLN 425 01 FEB 29 Volatility

30217AAB9   98.23  0.13  0.13%   
EXPNLN 425 01 secures Sharpe Ratio (or Efficiency) of -0.13, which denotes the bond had a -0.13% return per unit of risk over the last 3 months. EXPNLN 425 01 FEB 29 exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm EXPNLN's Mean Deviation of 0.2644, downside deviation of 0.3475, and Semi Deviation of 0.2178 to check the risk estimate we provide.
  
EXPNLN Bond 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 EXPNLN daily returns, and it is calculated using variance and standard deviation. We also use EXPNLN's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of EXPNLN volatility.
Downward market volatility can be a perfect environment for investors who play the long game with EXPNLN. They may decide to buy additional shares of EXPNLN at lower prices to lower the average cost per share, thereby improving their portfolio's performance when markets normalize.

Moving against EXPNLN Bond

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  0.5PG Procter GamblePairCorr
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  0.45BA Boeing Fiscal Year End 29th of January 2025 PairCorr

EXPNLN Market Sensitivity And Downside Risk

EXPNLN's beta coefficient measures the volatility of EXPNLN bond 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 EXPNLN bond's returns against your selected market. In other words, EXPNLN's beta of 0.0424 provides an investor with an approximation of how much risk EXPNLN bond can potentially add to one of your existing portfolios. EXPNLN 425 01 FEB 29 exhibits very low volatility with skewness of 0.65 and kurtosis of 2.55. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure EXPNLN's bond risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact EXPNLN's bond 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 EXPNLN 425 01 Demand Trend
Check current 90 days EXPNLN correlation with market (Dow Jones Industrial)

EXPNLN Beta

    
  0.0424  
EXPNLN 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

    
  0.32  
It is essential to understand the difference between upside risk (as represented by EXPNLN's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of EXPNLN's daily returns or price. Since the actual investment returns on holding a position in expnln bond 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 EXPNLN.

EXPNLN 425 01 Bond Volatility Analysis

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

Historical Volatility

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

Implied Volatility

This type of volatility provides a positive outlook on future price fluctuations for EXPNLN's current market price. This means that the bond will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on EXPNLN'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. EXPNLN 425 01 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.

EXPNLN Projected Return Density Against Market

Assuming the 90 days trading horizon EXPNLN has a beta of 0.0424 . This usually implies as returns on the market go up, EXPNLN average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding EXPNLN 425 01 FEB 29 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 EXPNLN or EXPNLN 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 EXPNLN's price will be affected by overall bond 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 EXPNLN bond'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.
EXPNLN 425 01 FEB 29 has an alpha of 0.0357, implying that it can generate a 0.0357 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Predicted Return Density   
       Returns  
EXPNLN's volatility is measured either by using standard deviation or beta. Standard deviation will reflect the average amount of how expnln bond'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 EXPNLN Price Volatility?

Several factors can influence a bond'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.

EXPNLN Bond Risk Measures

Assuming the 90 days trading horizon the coefficient of variation of EXPNLN is -791.66. The daily returns are distributed with a variance of 0.1 and standard deviation of 0.32. The mean deviation of EXPNLN 425 01 FEB 29 is currently at 0.23. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.77
α
Alpha over Dow Jones
0.04
β
Beta against Dow Jones0.04
σ
Overall volatility
0.32
Ir
Information ratio -0.19

EXPNLN Bond Return Volatility

EXPNLN historical daily return volatility represents how much of EXPNLN bond's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. EXPNLN 425 01 FEB 29 accepts 0.3212% volatility on return distribution over the 90 days horizon. By contrast, Dow Jones Industrial accepts 0.7444% volatility on return distribution over the 90 days horizon.
 Performance 
       Timeline  

About EXPNLN Volatility

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

3 ways to utilize EXPNLN's volatility to invest better

Higher EXPNLN's bond volatility means that the price of its stock is changing rapidly and unpredictably, while lower stock volatility indicates that the price of EXPNLN 425 01 bond 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. EXPNLN 425 01 bond 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 EXPNLN 425 01 investment. A higher volatility means higher risk and potentially larger changes in value.
  • Identifying Opportunities: High volatility in EXPNLN's bond 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 EXPNLN's bond relates to your other investments can help you create a well-diversified portfolio of assets with varying levels of risk.
Remember it's essential to remember that stock volatility is just one of many factors to consider when making investment decisions, and it should be used in conjunction with other fundamental and technical analysis tools.

EXPNLN Investment Opportunity

Dow Jones Industrial has a standard deviation of returns of 0.74 and is 2.31 times more volatile than EXPNLN 425 01 FEB 29. 2 percent of all equities and portfolios are less risky than EXPNLN. You can use EXPNLN 425 01 FEB 29 to enhance the returns of your portfolios. The bond experiences a normal upward fluctuation. Check odds of EXPNLN to be traded at 103.14 in 90 days.

Significant diversification

The correlation between EXPNLN 425 01 FEB 29 and DJI is 0.08 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding EXPNLN 425 01 FEB 29 and DJI in the same portfolio, assuming nothing else is changed.

EXPNLN Additional Risk Indicators

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

EXPNLN 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 EXPNLN 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. EXPNLN'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, EXPNLN'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 EXPNLN 425 01 FEB 29.

Other Information on Investing in EXPNLN Bond

EXPNLN financial ratios help investors to determine whether EXPNLN Bond 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 EXPNLN with respect to the benefits of owning EXPNLN security.