TSE Co (Korea) Market Value
131290 Stock | KRW 38,650 2,300 6.33% |
Symbol | TSE |
TSE Co '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 TSE Co'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 TSE Co.
11/19/2023 |
| 12/13/2024 |
If you would invest 0.00 in TSE Co on November 19, 2023 and sell it all today you would earn a total of 0.00 from holding TSE Co or generate 0.0% return on investment in TSE Co over 390 days. TSE Co is related to or competes with Hansol Chemical, Kyung-In Synthetic, LG Chemicals, LG Display, Daehan Synthetic, Dongnam Chemical, and Hanil Chemical. TSE Co., Ltd provides semiconductor test solutions in South Korea and internationally More
TSE Co 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 TSE Co'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 TSE Co upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.05) | |||
Maximum Drawdown | 22.7 | |||
Value At Risk | (6.15) | |||
Potential Upside | 7.47 |
TSE Co Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TSE Co's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TSE Co's standard deviation. In reality, there are many statistical measures that can use TSE Co historical prices to predict the future TSE Co's volatility.Risk Adjusted Performance | (0.01) | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (0.66) | |||
Treynor Ratio | 0.126 |
TSE Co Backtested Returns
TSE Co owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0103, which indicates the firm had a -0.0103% return per unit of volatility over the last 3 months. TSE Co exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TSE Co's variance of 15.97, and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The entity has a beta of -0.83, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning TSE Co are expected to decrease at a much lower rate. During the bear market, TSE Co is likely to outperform the market. At this point, TSE Co has a negative expected return of -0.0415%. Please make sure to validate TSE Co's market risk adjusted performance, coefficient of variation, jensen alpha, as well as the relationship between the mean deviation and standard deviation , to decide if TSE Co performance from the past will be repeated at future time.
Auto-correlation | -0.51 |
Good reverse predictability
TSE Co has good reverse predictability. Overlapping area represents the amount of predictability between TSE Co time series from 19th of November 2023 to 1st of June 2024 and 1st of June 2024 to 13th 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 TSE Co price movement. The serial correlation of -0.51 indicates that about 51.0% of current TSE Co price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.51 | |
Spearman Rank Test | -0.41 | |
Residual Average | 0.0 | |
Price Variance | 40.1 M |
TSE Co lagged returns against current returns
Autocorrelation, which is TSE Co 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 TSE Co's stock expected returns. We can calculate the autocorrelation of TSE Co returns to help us make a trade decision. For example, suppose you find that TSE Co 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 |
TSE Co 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 TSE Co stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TSE Co stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TSE Co stock over time.
Current vs Lagged Prices |
Timeline |
TSE Co Lagged Returns
When evaluating TSE Co's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TSE Co stock have on its future price. TSE Co 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, TSE Co autocorrelation shows the relationship between TSE Co stock current value and its past values and can show if there is a momentum factor associated with investing in TSE Co.
Regressed Prices |
Timeline |
Pair Trading with TSE Co
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 TSE Co 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 TSE Co will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to TSE Co could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace TSE Co 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 TSE Co - 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 TSE Co to buy it.
The correlation of TSE Co 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 TSE Co moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if TSE Co 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 TSE Co 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.Other Information on Investing in TSE Stock
TSE Co financial ratios help investors to determine whether TSE Stock 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 TSE with respect to the benefits of owning TSE Co security.