TSI (Korea) Market Value
| 277880 Stock | KRW 5,110 150.00 2.85% |
| Symbol | TSI |
TSI '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 TSI'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 TSI.
| 12/09/2023 |
| 12/03/2024 |
If you would invest 0.00 in TSI on December 9, 2023 and sell it all today you would earn a total of 0.00 from holding TSI Co or generate 0.0% return on investment in TSI over 360 days. TSI is related to or competes with Woori Technology, Sangsangin Investment, Daelim Trading, Stic Investments, and SK Chemicals. TSI Co., Ltd., a mixing system company, manufactures and sells rechargeable battery mixing systems in South Korea, the U... More
TSI 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 TSI'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 TSI Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 8.49 | |||
| Value At Risk | (4.23) | |||
| Potential Upside | 3.32 |
TSI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TSI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TSI's standard deviation. In reality, there are many statistical measures that can use TSI historical prices to predict the future TSI's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.37) | |||
| Total Risk Alpha | (0.71) | |||
| Treynor Ratio | 3.23 |
TSI Co Backtested Returns
TSI Co owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.22, which indicates the firm had a -0.22% return per unit of volatility over the last 3 months. TSI Co exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TSI's risk adjusted performance of (0.12), and Variance of 4.86 to confirm the risk estimate we provide. The entity has a beta of -0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning TSI are expected to decrease at a much lower rate. During the bear market, TSI is likely to outperform the market. At this point, TSI Co has a negative expected return of -0.48%. Please make sure to validate TSI's mean deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if TSI Co performance from the past will be repeated at some future point.
Auto-correlation | 0.69 |
Good predictability
TSI Co has good predictability. Overlapping area represents the amount of predictability between TSI time series from 9th of December 2023 to 6th of June 2024 and 6th of June 2024 to 3rd 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 TSI Co price movement. The serial correlation of 0.69 indicates that around 69.0% of current TSI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 613.3 K |
TSI Co lagged returns against current returns
Autocorrelation, which is TSI 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 TSI's stock expected returns. We can calculate the autocorrelation of TSI returns to help us make a trade decision. For example, suppose you find that TSI 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 |
TSI 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 TSI stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TSI stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TSI stock over time.
Current vs Lagged Prices |
| Timeline |
TSI Lagged Returns
When evaluating TSI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TSI stock have on its future price. TSI 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, TSI autocorrelation shows the relationship between TSI stock current value and its past values and can show if there is a momentum factor associated with investing in TSI Co.
Regressed Prices |
| Timeline |
Pair Trading with TSI
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 TSI 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 TSI will appreciate offsetting losses from the drop in the long position's value.Moving together with TSI Stock
The ability to find closely correlated positions to TSI could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace TSI 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 TSI - 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 TSI Co to buy it.
The correlation of TSI 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 TSI moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if TSI 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 TSI 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 TSI Stock
TSI financial ratios help investors to determine whether TSI 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 TSI with respect to the benefits of owning TSI security.