SSIAM VN30 (Vietnam) Volatility
| FUESSV30 | 16,280 130.00 0.80% |
SSIAM VN30 ETF owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0054, which indicates the etf had a -0.0054% return per unit of volatility over the last 3 months. SSIAM VN30 ETF exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SSIAM VN30's risk adjusted performance of (0.01), and Variance of 0.5581 to confirm the risk estimate we provide.
SSIAM |
SSIAM VN30 Etf 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 SSIAM daily returns, and it is calculated using variance and standard deviation. We also use SSIAM's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of SSIAM VN30 volatility.
Downward market volatility can be a perfect environment for investors who play the long game with SSIAM VN30. They may decide to buy additional shares of SSIAM VN30 at lower prices to lower the average cost per share, thereby improving their portfolio's performance when markets normalize.
SSIAM VN30 Market Sensitivity And Downside Risk
SSIAM VN30's beta coefficient measures the volatility of SSIAM etf 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 SSIAM etf's returns against your selected market. In other words, SSIAM VN30's beta of 0.3 provides an investor with an approximation of how much risk SSIAM VN30 etf can potentially add to one of your existing portfolios. SSIAM VN30 ETF exhibits very low volatility with skewness of -0.04 and kurtosis of 0.51. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure SSIAM VN30's etf risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact SSIAM VN30's etf 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 SSIAM VN30 ETF Demand TrendCheck current 90 days SSIAM VN30 correlation with market (Dow Jones Industrial)SSIAM Beta |
SSIAM 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 | 0.74 |
It is essential to understand the difference between upside risk (as represented by SSIAM VN30's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of SSIAM VN30's daily returns or price. Since the actual investment returns on holding a position in ssiam etf 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 SSIAM VN30.
SSIAM VN30 ETF Etf Volatility Analysis
Volatility refers to the frequency at which SSIAM VN30 etf price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with SSIAM VN30's price changes. Investors will then calculate the volatility of SSIAM VN30's etf to predict their future moves. A etf that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A etf with relatively stable price changes has low volatility. A highly volatile etf 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 SSIAM VN30's volatility:
Historical Volatility
This type of etf volatility measures SSIAM VN30's fluctuations based on previous trends. It's commonly used to predict SSIAM VN30's future behavior based on its past. However, it cannot conclusively determine the future direction of the etf.Implied Volatility
This type of volatility provides a positive outlook on future price fluctuations for SSIAM VN30's current market price. This means that the etf will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on SSIAM VN30'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. SSIAM VN30 ETF 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.
SSIAM VN30 Projected Return Density Against Market
Assuming the 90 days trading horizon SSIAM VN30 has a beta of 0.298 . This usually indicates as returns on the market go up, SSIAM VN30 average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding SSIAM VN30 ETF 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 SSIAM VN30 or SSIAM 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 SSIAM VN30's price will be affected by overall etf 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 SSIAM etf'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.
SSIAM VN30 ETF 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 SSIAM VN30 Price Volatility?
Several factors can influence a etf'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.SSIAM VN30 Etf Risk Measures
Assuming the 90 days trading horizon the coefficient of variation of SSIAM VN30 is -18623.62. The daily returns are distributed with a variance of 0.55 and standard deviation of 0.74. The mean deviation of SSIAM VN30 ETF is currently at 0.54. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.76
α | Alpha over Dow Jones | -0.06 | |
β | Beta against Dow Jones | 0.30 | |
σ | Overall volatility | 0.74 | |
Ir | Information ratio | -0.2 |
SSIAM VN30 Etf Return Volatility
SSIAM VN30 historical daily return volatility represents how much of SSIAM VN30 etf's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The ETF accepts 0.7429% volatility on return distribution over the 90 days horizon. By contrast, Dow Jones Industrial accepts 0.7502% volatility on return distribution over the 90 days horizon. Performance |
| Timeline |
SSIAM VN30 Investment Opportunity
Dow Jones Industrial has a standard deviation of returns of 0.75 and is 1.01 times more volatile than SSIAM VN30 ETF. 6 percent of all equities and portfolios are less risky than SSIAM VN30. You can use SSIAM VN30 ETF to enhance the returns of your portfolios. The etf experiences a moderate upward volatility. Check odds of SSIAM VN30 to be traded at 17908.0 in 90 days.Weak diversification
The correlation between SSIAM VN30 ETF and DJI is 0.3 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SSIAM VN30 ETF and DJI in the same portfolio, assuming nothing else is changed.
SSIAM VN30 Additional Risk Indicators
The analysis of SSIAM VN30'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 SSIAM VN30's investment and either accepting that risk or mitigating it. Along with some common measures of SSIAM VN30 etf'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 | (0.01) | |||
| Market Risk Adjusted Performance | (0.05) | |||
| Mean Deviation | 0.5473 | |||
| Coefficient Of Variation | (8,918) | |||
| Standard Deviation | 0.7471 | |||
| Variance | 0.5581 | |||
| Information Ratio | (0.20) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential etfs, we recommend comparing similar etfs with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
SSIAM VN30 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.
| Alphabet vs. SSIAM VN30 | ||
| Visa vs. SSIAM VN30 | ||
| Ford vs. SSIAM VN30 | ||
| GM vs. SSIAM VN30 | ||
| Citigroup vs. SSIAM VN30 | ||
| Dupont De vs. SSIAM VN30 | ||
| Microsoft vs. SSIAM VN30 | ||
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 SSIAM VN30 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. SSIAM VN30'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, SSIAM VN30'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 SSIAM VN30 ETF.