Fuh Hwa (Taiwan) Market Value
| 00731 Etf | TWD 68.25 0.05 0.07% |
| Symbol | Fuh |
Fuh Hwa 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Fuh Hwa's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Fuh Hwa.
| 07/01/2024 |
| 12/28/2024 |
If you would invest 0.00 in Fuh Hwa on July 1, 2024 and sell it all today you would earn a total of 0.00 from holding Fuh Hwa FTSE or generate 0.0% return on investment in Fuh Hwa over 180 days. Fuh Hwa is related to or competes with YuantaP Shares, Yuanta Daily, Fubon FTSE, Fuh Hwa, Paradigm, and Yuanta Daily. FUH HWA is traded on Taiwan Stock Exchange in Taiwan. More
Fuh Hwa Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Fuh Hwa's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Fuh Hwa FTSE upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 5.62 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 0.8152 |
Fuh Hwa Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fuh Hwa's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fuh Hwa's standard deviation. In reality, there are many statistical measures that can use Fuh Hwa historical prices to predict the future Fuh Hwa's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.80) |
Fuh Hwa FTSE Backtested Returns
Fuh Hwa FTSE secures Sharpe Ratio (or Efficiency) of -0.13, which denotes the etf had a -0.13% return per unit of risk over the last 3 months. Fuh Hwa FTSE exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fuh Hwa's Variance of 0.6147, mean deviation of 0.5047, and Standard Deviation of 0.784 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.15, which means not very significant fluctuations relative to the market. As returns on the market increase, Fuh Hwa's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fuh Hwa is expected to be smaller as well.
Auto-correlation | 0.78 |
Good predictability
Fuh Hwa FTSE has good predictability. Overlapping area represents the amount of predictability between Fuh Hwa time series from 1st of July 2024 to 29th of September 2024 and 29th of September 2024 to 28th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Fuh Hwa FTSE price movement. The serial correlation of 0.78 indicates that around 78.0% of current Fuh Hwa price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 6.61 |
Fuh Hwa FTSE lagged returns against current returns
Autocorrelation, which is Fuh Hwa etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Fuh Hwa's etf expected returns. We can calculate the autocorrelation of Fuh Hwa returns to help us make a trade decision. For example, suppose you find that Fuh Hwa has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Fuh Hwa regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Fuh Hwa etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fuh Hwa etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fuh Hwa etf over time.
Current vs Lagged Prices |
| Timeline |
Fuh Hwa Lagged Returns
When evaluating Fuh Hwa's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fuh Hwa etf have on its future price. Fuh Hwa autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Fuh Hwa autocorrelation shows the relationship between Fuh Hwa etf current value and its past values and can show if there is a momentum factor associated with investing in Fuh Hwa FTSE.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Fuh Etf
Fuh Hwa financial ratios help investors to determine whether Fuh Etf 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 Fuh with respect to the benefits of owning Fuh Hwa security.