SDN (Korea) Market Value
| 099220 Stock | KRW 1,178 22.00 1.90% |
| Symbol | SDN |
SDN '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 SDN'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 SDN.
| 04/07/2023 |
| 02/25/2025 |
If you would invest 0.00 in SDN on April 7, 2023 and sell it all today you would earn a total of 0.00 from holding SDN Company or generate 0.0% return on investment in SDN over 690 days. SDN is related to or competes with Busan Industrial, UNISEM, Finebesteel, Shinhan Inverse, Fine Besteel, and Hyundai Heavy. SDN Company Limited offer solar and renewable energy solutions. More
SDN 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 SDN'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 SDN Company upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.7 | |||
| Information Ratio | 0.077 | |||
| Maximum Drawdown | 20.67 | |||
| Value At Risk | (4.12) | |||
| Potential Upside | 8.08 |
SDN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SDN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SDN's standard deviation. In reality, there are many statistical measures that can use SDN historical prices to predict the future SDN's volatility.| Risk Adjusted Performance | 0.0655 | |||
| Jensen Alpha | 0.2621 | |||
| Total Risk Alpha | 0.2814 | |||
| Sortino Ratio | 0.0975 | |||
| Treynor Ratio | 0.3903 |
SDN Company Backtested Returns
SDN appears to be very steady, given 3 months investment horizon. SDN Company owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0919, which indicates the firm had a 0.0919 % return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for SDN Company, which you can use to evaluate the volatility of the company. Please review SDN's coefficient of variation of 1273.0, and Risk Adjusted Performance of 0.0655 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SDN holds a performance score of 7. The entity has a beta of 0.66, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SDN's returns are expected to increase less than the market. However, during the bear market, the loss of holding SDN is expected to be smaller as well. Please check SDN's coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to make a quick decision on whether SDN's existing price patterns will revert.
Auto-correlation | 0.60 |
Good predictability
SDN Company has good predictability. Overlapping area represents the amount of predictability between SDN time series from 7th of April 2023 to 17th of March 2024 and 17th of March 2024 to 25th of February 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 SDN Company price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current SDN price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 69.3 K |
SDN Company lagged returns against current returns
Autocorrelation, which is SDN 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 SDN's stock expected returns. We can calculate the autocorrelation of SDN returns to help us make a trade decision. For example, suppose you find that SDN 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 |
SDN 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 SDN stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SDN stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SDN stock over time.
Current vs Lagged Prices |
| Timeline |
SDN Lagged Returns
When evaluating SDN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SDN stock have on its future price. SDN 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, SDN autocorrelation shows the relationship between SDN stock current value and its past values and can show if there is a momentum factor associated with investing in SDN Company.
Regressed Prices |
| Timeline |
Pair Trading with SDN
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 SDN 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 SDN will appreciate offsetting losses from the drop in the long position's value.Moving against SDN Stock
| 0.74 | 055550 | Shinhan Financial | PairCorr |
| 0.64 | 105560 | KB Financial Group | PairCorr |
| 0.47 | 086790 | Hana Financial | PairCorr |
| 0.45 | 032830 | Samsung Life | PairCorr |
| 0.37 | 316140 | Woori Financial Group | PairCorr |
The ability to find closely correlated positions to SDN could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SDN 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 SDN - 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 SDN Company to buy it.
The correlation of SDN 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 SDN moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SDN Company 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 SDN 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 SDN Stock
SDN financial ratios help investors to determine whether SDN 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 SDN with respect to the benefits of owning SDN security.