Goldman Sachs buys over 13 lakh shares worth Rs 75 crore in Arvind Fashions via block deal - The Economic Times
ARVINDFASN | 520.95 4.20 0.80% |
Roughly 62% of Arvind Fashions' investor base is looking to short. The analysis of overall sentiment of trading Arvind Fashions Limited stock suggests that many investors are alarmed at this time. The current market sentiment, together with Arvind Fashions' historical and current headlines, can help investors time the market. In addition, many technical investors use Arvind Fashions stock news signals to limit their universe of possible portfolio assets.
Arvind Fashions stock news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of Arvind daily returns and investor perception about the current price of Arvind Fashions Limited as well as its diversification or hedging effects on your existing portfolios.
Arvind |
Goldman Sachs buys over 13 lakh shares worth Rs 75 crore in Arvind Fashions via block deal The Economic Times
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Arvind Fashions Fundamental Analysis
We analyze Arvind Fashions' financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Arvind Fashions using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Arvind Fashions 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.
Book Value Per Share
Book Value Per Share Comparative Analysis
Arvind Fashions is currently under evaluation in book value per share category among its peers. 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.
Arvind Fashions Potential Pair-trading
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Arvind Fashions stock to make a market-neutral strategy. Peer analysis of Arvind Fashions could also be used in its relative valuation, which is a method of valuing Arvind Fashions by comparing valuation metrics with similar companies.
Peers
Arvind Fashions Related Equities
FOODSIN | Foods Inns | 1.22 | ||||
TCI | Transport | 0.76 | ||||
ADFFOODS | ADF Foods | 0.63 | ||||
HINDCON | Hindcon Chemicals | 0.16 | ||||
SPORTKING | Sportking India | 0.75 | ||||
SARVESHWAR | Sarveshwar Foods | 0.80 | ||||
TREEHOUSE | Tree House | 2.14 | ||||
FLUOROCHEM | Gujarat Fluorochemicals | 2.42 |
Complementary Tools for Arvind Stock analysis
When running Arvind Fashions' price analysis, check to measure Arvind Fashions' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Arvind Fashions is operating at the current time. Most of Arvind Fashions' value examination focuses on studying past and present price action to predict the probability of Arvind Fashions' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Arvind Fashions' price. Additionally, you may evaluate how the addition of Arvind Fashions to your portfolios can decrease your overall portfolio volatility.
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