Food Moments (Thailand) Volatility
| FM Stock | 3.66 0.06 1.61% |
Food Moments PCL secures Sharpe Ratio (or Efficiency) of -0.18, which denotes the company had a -0.18% return per unit of risk over the last 3 months. Food Moments PCL exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Food Moments' Variance of 3.52, mean deviation of 1.5, and Standard Deviation of 1.88 to check the risk estimate we provide.
Food |
Food Moments Stock 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 Food daily returns, and it is calculated using variance and standard deviation. We also use Food's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of Food Moments volatility.
Downward market volatility can be a perfect environment for investors who play the long game. Here, they may decide to buy additional stocks of Food Moments at lower prices. For example, an investor can purchase Food stock that has halved in price over a short period. This will lower their average cost per share, thereby improving the overall portfolio performance when market normalizes.
Moving together with Food Stock
Moving against Food Stock
| 0.67 | COM7 | Com7 PCL | PairCorr |
| 0.63 | EE | Eternal Energy Public | PairCorr |
| 0.61 | SAM | Samchai Steel Industries | PairCorr |
| 0.58 | DELTA | Delta Electronics Public | PairCorr |
| 0.45 | RCL-R | Regional Container Lines | PairCorr |
| 0.36 | ADVANC | Advanced Info Service | PairCorr |
| 0.35 | TRU | Thai Rung Union | PairCorr |
| 0.34 | PTTEP-R | PTT Exploration | PairCorr |
Food Moments Market Sensitivity And Downside Risk
Food Moments' beta coefficient measures the volatility of Food stock 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 Food stock's returns against your selected market. In other words, Food Moments's beta of 0.12 provides an investor with an approximation of how much risk Food Moments stock can potentially add to one of your existing portfolios. Food Moments PCL exhibits very low volatility with skewness of 0.42 and kurtosis of 0.01. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Food Moments' stock risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact Food Moments' stock 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 Food Moments PCL Demand TrendCheck current 90 days Food Moments correlation with market (Dow Jones Industrial)Food Beta |
Food 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 | 1.87 |
It is essential to understand the difference between upside risk (as represented by Food Moments's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of Food Moments' daily returns or price. Since the actual investment returns on holding a position in food stock 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 Food Moments.
Food Moments PCL Stock Volatility Analysis
Volatility refers to the frequency at which Food Moments stock price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with Food Moments' price changes. Investors will then calculate the volatility of Food Moments' stock to predict their future moves. A stock that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A stock with relatively stable price changes has low volatility. A highly volatile stock 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 Food Moments' volatility:
Historical Volatility
This type of stock volatility measures Food Moments' fluctuations based on previous trends. It's commonly used to predict Food Moments' future behavior based on its past. However, it cannot conclusively determine the future direction of the stock.Implied Volatility
This type of volatility provides a positive outlook on future price fluctuations for Food Moments' current market price. This means that the stock will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on Food Moments' 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. Food Moments PCL 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.
Food Moments Projected Return Density Against Market
Assuming the 90 days horizon Food Moments has a beta of 0.1235 . This usually indicates as returns on the market go up, Food Moments average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Food Moments PCL 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 Food Moments or Natural Foods 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 Food Moments' price will be affected by overall stock 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 Food stock'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.
Food Moments PCL 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 |
What Drives a Food Moments Price Volatility?
Several factors can influence a stock'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.Food Moments Stock Risk Measures
Assuming the 90 days horizon the coefficient of variation of Food Moments is -553.65. The daily returns are distributed with a variance of 3.49 and standard deviation of 1.87. The mean deviation of Food Moments PCL is currently at 1.48. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.79
α | Alpha over Dow Jones | -0.31 | |
β | Beta against Dow Jones | 0.12 | |
σ | Overall volatility | 1.87 | |
Ir | Information ratio | -0.19 |
Food Moments Stock Return Volatility
Food Moments historical daily return volatility represents how much of Food Moments stock's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The company shows 1.8682% volatility of returns over 90 . By contrast, Dow Jones Industrial accepts 0.8025% volatility on return distribution over the 90 days horizon. Performance |
| Timeline |
Food Moments Investment Opportunity
Food Moments PCL has a volatility of 1.87 and is 2.34 times more volatile than Dow Jones Industrial. 16 percent of all equities and portfolios are less risky than Food Moments. You can use Food Moments PCL to protect your portfolios against small market fluctuations. The stock experiences a somewhat bearish sentiment, but the market may correct it shortly. Check odds of Food Moments to be traded at 3.55 in 90 days.Significant diversification
The correlation between Food Moments PCL and DJI is 0.05 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Food Moments PCL and DJI in the same portfolio, assuming nothing else is changed.
Food Moments Additional Risk Indicators
The analysis of Food Moments' 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 Food Moments' investment and either accepting that risk or mitigating it. Along with some common measures of Food Moments stock'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 | (0.12) | |||
| Market Risk Adjusted Performance | (2.48) | |||
| Mean Deviation | 1.5 | |||
| Coefficient Of Variation | (631.05) | |||
| Standard Deviation | 1.88 | |||
| Variance | 3.52 | |||
| Information Ratio | (0.19) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stocks, we recommend comparing similar stocks with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Food Moments 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 Food Moments 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. Food Moments' 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, Food Moments' 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 Food Moments PCL.