MPI (Taiwan) Market Value
| 6223 Stock | TWD 872.00 21.00 2.35% |
| Symbol | MPI |
MPI '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 MPI's stock 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 MPI.
| 11/21/2024 |
| 12/21/2024 |
If you would invest 0.00 in MPI on November 21, 2024 and sell it all today you would earn a total of 0.00 from holding MPI Corporation or generate 0.0% return on investment in MPI over 30 days. MPI is related to or competes with Elan Microelectronics, Greatek Electronics, Ruentex Development, WiseChip Semiconductor, Novatek Microelectronics, Leader Electronics, and Information Technology. MPI Corporation manufactures, processes, maintains, importsexports, and trades in semi-conductor production process and ... More
MPI 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 MPI's stock 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 MPI Corporation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.9 | |||
| Information Ratio | 0.0768 | |||
| Maximum Drawdown | 13.88 | |||
| Value At Risk | (5.18) | |||
| Potential Upside | 6.92 |
MPI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MPI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MPI's standard deviation. In reality, there are many statistical measures that can use MPI historical prices to predict the future MPI's volatility.| Risk Adjusted Performance | 0.0763 | |||
| Jensen Alpha | 0.2756 | |||
| Total Risk Alpha | 0.181 | |||
| Sortino Ratio | 0.0862 | |||
| Treynor Ratio | (1.78) |
MPI Corporation Backtested Returns
MPI appears to be very steady, given 3 months investment horizon. MPI Corporation has Sharpe Ratio of 0.0732, which conveys that the firm had a 0.0732% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for MPI, which you can use to evaluate the volatility of the firm. Please exercise MPI's mean deviation of 2.35, and Risk Adjusted Performance of 0.0763 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, MPI holds a performance score of 5. The company secures a Beta (Market Risk) of -0.15, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning MPI are expected to decrease at a much lower rate. During the bear market, MPI is likely to outperform the market. Please check MPI's mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether MPI's current price movements will revert.
Auto-correlation | 0.36 |
Below average predictability
MPI Corporation has below average predictability. Overlapping area represents the amount of predictability between MPI time series from 21st of November 2024 to 6th of December 2024 and 6th of December 2024 to 21st 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 MPI Corporation price movement. The serial correlation of 0.36 indicates that just about 36.0% of current MPI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 505.7 |
MPI Corporation lagged returns against current returns
Autocorrelation, which is MPI stock'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 MPI's stock expected returns. We can calculate the autocorrelation of MPI returns to help us make a trade decision. For example, suppose you find that MPI has exhibited high autocorrelation historically, and you observe that the stock 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 |
MPI 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 MPI stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MPI stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MPI stock over time.
Current vs Lagged Prices |
| Timeline |
MPI Lagged Returns
When evaluating MPI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MPI stock have on its future price. MPI 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, MPI autocorrelation shows the relationship between MPI stock current value and its past values and can show if there is a momentum factor associated with investing in MPI Corporation.
Regressed Prices |
| Timeline |
Pair Trading with MPI
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if MPI position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in MPI will appreciate offsetting losses from the drop in the long position's value.Moving against MPI Stock
| 0.58 | 5483 | Sino American Silicon | PairCorr |
| 0.48 | 3532 | Formosa Sumco Technology | PairCorr |
| 0.37 | 6239 | Powertech Technology | PairCorr |
| 0.35 | 3264 | Ardentec | PairCorr |
| 0.32 | 2886 | Mega Financial Holding | PairCorr |
The ability to find closely correlated positions to MPI could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace MPI when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back MPI - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling MPI Corporation to buy it.
The correlation of MPI is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as MPI moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MPI Corporation moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for MPI can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for MPI Stock Analysis
When running MPI's price analysis, check to measure MPI's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy MPI is operating at the current time. Most of MPI's value examination focuses on studying past and present price action to predict the probability of MPI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MPI's price. Additionally, you may evaluate how the addition of MPI to your portfolios can decrease your overall portfolio volatility.