DB Insurance (Korea) Market Value
| 005830 Stock | 94,900 1,200 1.25% |
| Symbol | 005830 |
DB Insurance '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 DB Insurance'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 DB Insurance.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in DB Insurance on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding DB Insurance Co or generate 0.0% return on investment in DB Insurance over 90 days. DB Insurance is related to or competes with Seoul Electronics, Sangshin Electronics, UJU Electronics, Hyundai Home, Kisan Telecom, ZUM Internet, and Sungmoon Electronics. More
DB Insurance 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 DB Insurance'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 DB Insurance Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 12.5 | |||
| Value At Risk | (3.81) | |||
| Potential Upside | 3.85 |
DB Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DB Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DB Insurance's standard deviation. In reality, there are many statistical measures that can use DB Insurance historical prices to predict the future DB Insurance's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.31) | |||
| Total Risk Alpha | 0.041 | |||
| Treynor Ratio | 0.4781 |
DB Insurance Backtested Returns
DB Insurance retains Efficiency (Sharpe Ratio) of -0.0575, which denotes the company had a -0.0575 % return per unit of price deviation over the last 3 months. DB Insurance exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DB Insurance's Market Risk Adjusted Performance of 0.4881, standard deviation of 2.37, and Information Ratio of (0.06) to check the risk estimate we provide. The firm owns a Beta (Systematic Risk) of -0.53, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning DB Insurance are expected to decrease at a much lower rate. During the bear market, DB Insurance is likely to outperform the market. At this point, DB Insurance has a negative expected return of -0.12%. Please make sure to confirm DB Insurance'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 DB Insurance performance from the past will be repeated sooner or later.
Auto-correlation | 0.87 |
Very good predictability
DB Insurance Co has very good predictability. Overlapping area represents the amount of predictability between DB Insurance time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of DB Insurance price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current DB Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 14 M |
DB Insurance lagged returns against current returns
Autocorrelation, which is DB Insurance 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 DB Insurance's stock expected returns. We can calculate the autocorrelation of DB Insurance returns to help us make a trade decision. For example, suppose you find that DB Insurance 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 |
DB Insurance 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 DB Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DB Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DB Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
DB Insurance Lagged Returns
When evaluating DB Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DB Insurance stock have on its future price. DB Insurance 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, DB Insurance autocorrelation shows the relationship between DB Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in DB Insurance Co.
Regressed Prices |
| Timeline |
Pair Trading with DB Insurance
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 DB Insurance 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 DB Insurance will appreciate offsetting losses from the drop in the long position's value.Moving against 005830 Stock
| 0.6 | 034830 | Korea Real Estate | PairCorr |
| 0.6 | 034950 | Korea Ratings | PairCorr |
| 0.5 | 053080 | Wonbang Tech Earnings Call Today | PairCorr |
| 0.47 | 058470 | LEENO Industrial Earnings Call Today | PairCorr |
The ability to find closely correlated positions to DB Insurance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DB Insurance 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 DB Insurance - 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 DB Insurance Co to buy it.
The correlation of DB Insurance 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 DB Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if DB Insurance 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 DB Insurance 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 005830 Stock
DB Insurance financial ratios help investors to determine whether 005830 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 005830 with respect to the benefits of owning DB Insurance security.