Lotte Data Communication Stock Book Value Per Share
| 286940 Stock | 20,150 50.00 0.25% |
Lotte Data Communication fundamentals help investors to digest information that contributes to Lotte Data's financial success or failures. It also enables traders to predict the movement of Lotte Stock. The fundamental analysis module provides a way to measure Lotte Data's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Lotte Data stock.
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Lotte Data Communication Company Book Value Per Share Analysis
Lotte Data's Book Value per Share (B/S) can be calculated by subtracting liabilities from assets, and then dividing it by the total number of currently outstanding shares. It indicates the level of safety associated with each common share after removing the effects of liabilities. In other words, a shareholder can use this ratio to see how much he or she can sell the stake in the company in the event of a liquidation.
More About Book Value Per Share | All Equity Analysis
Book Value per Share | = | Common EquityAverage Shares |
The naive approach to look at Book Value per Share is to compare it to current stock price. If Book Value per Share is higher than the currently traded stock price, the company can be considered undervalued. However, investors must be aware that conventional calculation of Book Value does not include intangible assets such as goodwill, intellectual property, trademarks or brands and may not be an appropriate measure for many firms.
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In accordance with the recently published financial statements, the book value per share of Lotte Data Communication is about 0.0 times. This is 100.0% lower than that of the Technology sector and 100.0% lower than that of the Information Technology Services industry. The book value per share for all Republic of Korea stocks is 100.0% higher than that of the company.
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Lotte Fundamentals
| Return On Equity | 0.0296 | |||
| Return On Asset | 0.0182 | |||
| Profit Margin | 0.02 % | |||
| Operating Margin | 0.02 % | |||
| Current Valuation | 358.39 B | |||
| Shares Outstanding | 15.13 M | |||
| Shares Owned By Insiders | 67.18 % | |||
| Shares Owned By Institutions | 10.24 % | |||
| Price To Book | 0.84 X | |||
| Price To Sales | 0.36 X | |||
| Revenue | 930 B | |||
| Gross Profit | 74.86 B | |||
| EBITDA | 86.59 B | |||
| Net Income | 34.66 B | |||
| Total Debt | 100 B | |||
| Cash Flow From Operations | 87.3 B | |||
| Earnings Per Share | 595.69 X | |||
| Target Price | 36500.0 | |||
| Number Of Employees | 2.85 K | |||
| Beta | 0.72 | |||
| Market Capitalization | 435.73 B | |||
| Total Asset | 750.13 B | |||
| Z Score | 3.4 | |||
| Annual Yield | 0.02 % | |||
| Net Asset | 750.13 B | |||
| Last Dividend Paid | 700.0 |
About Lotte Data Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Lotte Data Communication's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Lotte Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Lotte Data Communication based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Lotte Data
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 Lotte Data 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 Lotte Data will appreciate offsetting losses from the drop in the long position's value.Moving against Lotte Stock
| 0.55 | 032830 | Samsung Life | PairCorr |
| 0.45 | 105560 | KB Financial Group | PairCorr |
| 0.43 | 024110 | Industrial Bank | PairCorr |
The ability to find closely correlated positions to Lotte Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Lotte Data 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 Lotte Data - 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 Lotte Data Communication to buy it.
The correlation of Lotte Data 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 Lotte Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Lotte Data Communication 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 Lotte Data 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 Lotte Stock
Lotte Data financial ratios help investors to determine whether Lotte 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 Lotte with respect to the benefits of owning Lotte Data security.