Fuh Hwa (Taiwan) Market Value
| 00711B Etf | TWD 16.30 0.13 0.80% |
| 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.
| 06/14/2022 |
| 06/03/2024 |
If you would invest 0.00 in Fuh Hwa on June 14, 2022 and sell it all today you would earn a total of 0.00 from holding Fuh Hwa Emerging or generate 0.0% return on investment in Fuh Hwa over 720 days. Fuh Hwa is related to or competes with Fuh Hwa, Fuh Hwa, Fuh Hwa, and Fuh Hwa. 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 Emerging upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4532 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 1.9 | |||
| Value At Risk | (0.61) | |||
| Potential Upside | 0.7444 |
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 | 0.0241 | |||
| Jensen Alpha | 0.0013 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.041 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fuh Hwa's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Fuh Hwa Emerging Backtested Returns
We consider Fuh Hwa very steady. Fuh Hwa Emerging secures Sharpe Ratio (or Efficiency) of 0.0431, which denotes the etf had a 0.0431% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fuh Hwa Emerging, which you can use to evaluate the volatility of the entity. Please confirm Fuh Hwa's Coefficient Of Variation of 2168.83, mean deviation of 0.314, and Downside Deviation of 0.4532 to check if the risk estimate we provide is consistent with the expected return of 0.0189%. The etf shows a Beta (market volatility) of 0.23, 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 | 0.69 |
Good predictability
Fuh Hwa Emerging has good predictability. Overlapping area represents the amount of predictability between Fuh Hwa time series from 14th of June 2022 to 9th of June 2023 and 9th of June 2023 to 3rd of June 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 Emerging price movement. The serial correlation of 0.69 indicates that around 69.0% of current Fuh Hwa price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Fuh Hwa Emerging 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 Emerging.
Regressed Prices |
| Timeline |
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Fuh Hwa technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.