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Major Steel Stocks for Q3 2021



The steel industry is part of the basic materials sector and is made up of companies involved in steel production, mining and related activities. Although steel has historically been a major industry in the United States, the number of steel mills producing the metal has declined dramatically in recent decades due to foreign competition. Some of the big names in the global steel industry include UK-based Rio Tinto PLC (RIO), Brazil-based Vale SA (VALE), and Reliance Steel & Aluminum Co. (RS).

The industry is recovering after a challenging 2020 due to the pandemic. Steel stocks, represented by the VanEck vectors Steel (SLX) ETF, significantly outperformed the broader market over the past year. The SLX’s total return is 111.7%, more than three times the Russell 1000’s total return of 34.8%. These figures and all the statistics in the following tables correspond to June 8, 2021.

Here are the top 3 steel stocks with the best value, the fastest growth, and the most momentum.

These are the steel stocks with the lowest price-to-earnings (P / E) ratio in the last 12 months. Because profits can be returned to shareholders in the form of dividends and buybacks, a low P / E ratio shows that you are paying less for every dollar of profit generated.

Best value steel stocks
Price ($) Market Cap ($ B) Final 12-month P / E ratio
Mechel PAO (MTLPR) 0.77 0.8 1.4
Ternium SA (TX) 36.63 7.2 5.2
Companhia Siderurgica Nacional (SID) 8.72 12.0 6.3

Fountain: YCharts

  • Mechel PAO: Mechel PAO is a Russian-based mining, steel and energy company. The company produces semi-finished steel, coke, iron ore, chemicals and electricity. For the first quarter of 2021, the company reported sharp year-on-year declines in production and sales of many of its key products due to external and internal factors. The company said market trends improved significantly in April.
  • Ternium SA: Ternium is a Luxembourg-based company that manufactures and processes steel products used in a wide range of industries, including automotive, household appliances, energy, capital goods and construction.
  • Companhia Siderurgica Nacional: Companhia Siderurgica Nacional is a steel manufacturer based in Brazil. Mines iron ore and produces semi-finished steel products for multiple industries. For the first quarter of 2021, the company reported net income of $ 5.7 billion reais (about $ 1.1 billion) compared to a net loss for the first quarter of 2020. Net sales income more than doubled year-on-year. Strong sales volumes and improved prices contributed to performance.

These are the top steel stocks ranked by a growth model that rates companies based on a 50/50 weighting of their most recent quarterly year-over-year percentage revenue growth and their most recent quarterly earnings per share (EPS) growth. . Both sales and profits are critical factors for the success of a business. Therefore, ranking companies by a single growth metric makes a ranking susceptible to accounting anomalies from that quarter (such as changes in tax law or restructuring costs) that can make one or the other figure unrepresentative. of the business in general. Companies with quarterly EPS or revenue growth greater than 2,500% were excluded as outliers.

Fastest growing steel stocks
Price ($) Market Cap ($ B) EPS growth (%) Revenue growth (%)
Cleveland-Cliffs Inc. (CLF) 20.27 10.1 N / A (see company description) 1,030
Schnitzer Steel Industries Inc. (SCHN) 57.20 1.6 1,000 36.6
Gerdau SA (GGB) 6.23 10.6 800.9 43.4

Fountain: YCharts

  • Cleveland-Cliffs Inc .: Cleveland-Cliffs is a major North American flat rolled steel producer and a major supplier of iron ore pellets. The company is not included in the EPS growth column above because it went from negative EPS in the first quarter of 2020 to positive EPS in the first quarter of 2021, which means that a year-on-year growth figure is not applied.
  • Schnitzer Steel Industries Inc .: Schnitzer Steel Industries is a western-based steel scrap recycling company supplying scrap to domestic and international steel producers. It also operates collection and processing facilities.
  • Gerdau SA: Gerdau is a Brazil-based steel manufacturer with facilities in 10 countries. Using recycled scrap metal to make steel, its products are used in industries such as agriculture, energy, automotive, and manufacturing. In late April, the company announced plans to resume operations at its Araucária, Paraná unit in the second half of 2021 due to the positive outlook for steel demand in Brazil in 2021. The unit has been out of operation since 2014 and has an annual crude. steel production capacity of 420,000 tons.

These are the steel stocks that had the highest total return over the past 12 months.

Higher momentum steel stocks
Price ($) Market Cap ($ B) Final 12-month total return (%)
Stelco Holdings Inc. (STLC.TO) CA $ 34.34 CA $ 3.0 330.1
Companhia Siderurgica Nacional (SID) 8.72 12.0 253.4
Schnitzer Steel Industries Inc. (SCHN) 57.20 1.6 230.4
Russell 1000 N / A N / A 34.8
VanEck vectors steel ETF (SLX) N / A N / A 111.7

Fountain: YCharts

  • Stelco Holdings Inc .: Stelco Holdings is a Canadian-based company that produces hot rolled, cold rolled and coated sheet steel products. These products are used in the construction, automotive and energy industries. For the first quarter of 2021, Stelco reported net income of CA $ 119 million (about $ 98.4 million), compared to a net loss a year earlier. Revenues improved 49.4% year-on-year. The company attributed the results to growing demand for steel and key strategic investments in its operating facilities.
  • Companhia Siderurgica Nacional: See above for company description.
  • Schnitzer Steel Industries Inc .: See above for company description.

The comments, opinions and analysis expressed in are for informational purposes only and should not be considered individual investment advice or recommendations to invest in any security or adopt any investment strategy. While we believe that the information provided is reliable, we do not guarantee its accuracy or completeness. The opinions and strategies described in our content may not be suitable for all investors. Because economic and market conditions are subject to rapid change, all comments, opinions and analysis included in our content are presented on the date of publication and may change without notice. The material is not intended to be a complete analysis of all material facts relating to any country, region, market, industry, investment, or strategy.

Investopedia requires that writers use primary sources to support their work. These include white papers, government data, original reports, and interviews with industry experts. We also reference original research from other reputable publishers where appropriate. You can learn more about the standards we follow to produce accurate and unbiased content at our
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AI in investing is about human empowerment, not displacement



Artificial intelligence (AL), a branch of computer science, enables machines to mimic intelligent human behavior to solve complex problems. It’s called artificial intelligence, since human intelligence is considered real intelligence. Machine learning (ML), a powerful subset of artificial intelligence, helps devices learn and improve from past experiences without the need for explicit programming. ML processes massive amounts of data to extract actionable insights that help create competitive advantage, and it has proven to be a game changer for the business world, driving aggressive growth, innovation and sustainability agendas across different verticals.

Given the fuzzy definitions of AI and ML in practice, it’s not easy to accurately measure their progression in quantifiable terms. However, several surveys and studies from time to time have given us a clear idea of ​​its speed.

in business and industry.

Machine learning and business intelligence
The growing volume and complexity of business data is driving the business adoption of ML in business analytics, which has progressed by leaps and bounds since the glory days of conventional extract, transform, and load (ETL) tools. ML has vastly improved business intelligence by processing and analyzing large and complex data sets to identify patterns that would otherwise go undetected.

Simply put, ML-enabled pattern recognition is a ‘machine way’ of identifying data regularity, which is about its stability, consistency, and symmetry, and classifying events based on input data. Therefore, more than simply monitoring behavior, analysis of user actions reveals actionable information about their behavior that is invariably complex and varied.

The importance of predictive machine learning can be measured by its success in different industries. Today, many retailers are creating personalized product recommendations based on purchasing patterns. Health insurance providers are developing information-rich consumer profiles. Digital media companies predict the success of entertainment shows to make smart streaming decisions. Food tech companies are customizing each customer’s landing page based on their granular food preferences, driving the shopper to a ‘buy’ based on the sheer joy of finding the recipe, ingredients, and cooking style. desired.

Machine learning applications in financial services
ML opportunities in the financial space. ML can help provide banking clients, as well as investors in the stock market, with curated pages that highlight offerings suited to their needs or with the sectors and stocks of their choice; More importantly, you can guide them toward better investment and banking decisions through prudent choices in light of prevailing market trends, realities, and customer needs.

It is pertinent to note the powerful dual use of ML in trading and investing. It can be used to analyze stocks, as well as to analyze the investment behavior of investors.

For inventory analysis, AI ensures a huge value addition: it collects clean data and processes and classifies to draw intelligent inferences through pattern recognition. In stock trading, it also helps minimize post-execution impact on stock prices by breaking orders into smaller chunks, as well as identifying arbitrage opportunities in various markets.

This snapshot of popular AI trading and trading tools gives a glimpse of a burgeoning market in the making.

Kavout Former Google executives Brainchild has developed “K Score” – an AI-enhanced stock ranking system that uses pattern recognition technology and a price forecasting engine.
Auquan Platform for asset managers to look for non-obvious connections, news, anticipation biases that affect investment decisions.
EquBot Artificial intelligence platform integrated with IBM Watson that enables faster data processing, AI-created portfolios, and sentiment analysis.
Black box actions It comes with a pre-trade scanner to detect most active stocks and their degree of volatility.
Neuronic Now part of Trading Technologies, it enables continuous assessment of compliance risk associated with complex business behaviors.
Sigmoidal Discover actionable patterns between capital market values ​​and expectations.

For the analysis of investor behavior, AI goes beyond mere personalization to forecast how such behavior will influence business decisions. This rotation brings to light invaluable information such as actionable segmentation of customers into different groups (and therefore targeting different product offerings) based on their spending and savings patterns.

Today, many technology companies are studying tons of unstructured data sets and extracting invaluable information and patterns to assess the reliability of company guidance disclosures, the correlation between projections and performance, and the likelihood of increases. and growth downturns. Additionally, digital assistant vendors are enabling guided conversations that simulate the “why” and “how” questions that an expert financial advisor is adept at asking and answering.

AI and ML in India … and the road ahead
According to a 2020 study by Analytics India and AnalytixLabs, 16% of analytics revenue across all companies is attributed to advanced analytics, predictive modeling, and data science. Although this participation is impressive, the fact is that the AI ​​market in India is still in a nascent stage.

Without a doubt, there is enormous scope for the use of AI in the future, beyond Behavioral Analytics, Robo Advisory, Stock Scoring, and Portfolio Diagnostics. Potential areas include both stakeholder-specific (such as customer onboarding, self-service offerings, vendor management) and system-specific (such as risk management, anti-money laundering, fraud detection).

As more and more users join the AI ​​train, data will only grow in volume, speed, accuracy, variety, and value. The graphic below (courtesy: German market data platform Statista) gives a clear idea of ​​the big data revolution that is brewing, which will soar higher on the wings of artificial intelligence and machine learning.

Yes Sec-Big data table

AI and ML in Investing: About Human Empowerment, Not Displacement

The capital market is enormously complex. Since market data, feeds are the main inputs of an algorithm; machines can miss dozens of elusive opportunities that only the human brain is adept at detecting. AI has the serious limitation of not offering a long-term strategy based solely on the status quo or past information. Humans can improve the probabilistic results of AI, validating them in light of intuition and discretion, such as the way a doctor studies an ultrasound image.

Artificial intelligence and machine learning are key enablers to improve investment and business decisions. Competent financial advisers make smart use of actionable AI and ML information that provides comprehensive analysis of stocks / sectors and investor behavior to create long-term wealth for different clients. This ultimate goal is achieved only through disciplined and diversified investments, in line with the respective income profiles, risk appetites, available market opportunities, and applicable incentives such as tax deductions and exemptions.

This article is written by Gopinath Natarajan, Head of Investments and Products, Yes Securities. The views are yours)

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Gold Price: Prospects Still Mixed Next Week; expert gives this business strategy



The bullion trend is expected to remain mixed over the next week, albeit with a downward bias, said expert Anuj Gupta, IIFL vice president (VP) of commodity and currency research. He further said that the US Federal Reserve’s comments on interest rates have not yet been fully accounted for by the markets and that could keep gold and silver prices in an uncertain zone.

The yellow metal fell more than 1 percent on Wednesday after the US Federal Reserve indicated a double increase in interest rates for 2023. This news was not well received by the bullion market, as prices fell. abruptly.

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As for domestic prices, although the international price could undergo a correction, the strength of the US dollar may not allow bullion to slip appreciably here, he said. “We may see prices hold up in physical markets,” he added.

Spot gold was down 0.61 percent to $ 1,762.63 an ounce, and prices were down about 5.7 percent for the week. US gold futures closed 0.3% lower at $ 1,769 an ounce, Reuters reported.

MCX Gold perspective

On Friday, MCX August Gold Futures closed at Rs 46,800 per 10g, becoming cheaper at Rs 158 or almost 0.34 percent from the last closing price on Thursday. Your strategy for the week will be to sell gold futures. He recommended selling at 47,500 rupees. Puts the stop loss at Rs 48,000. It puts the target price at Rs 46,500.

MCX Silver Outlook

Meanwhile, MCX’s July silver futures ended at Rs 67,580 per kg on Friday, Rs 19 less than the last closing price on Thursday. He recommended selling at Rs 68,500. It puts the stop loss at Rs 69,500, while the target price is Rs 66,000.

Gold and silver price in Dubai

As for prices in Dubai, 24k gold was trading at AED 213.75 (Rs 4,314.69) per gram, while 22k was trading at AED 200.75 (Rs 4,052.28). This information has been obtained from the Dubai Gold & Jewelery Group (DGJG) website. The website claims that the DGJG is the largest trade body for Dubai’s jewelry industry (DGJG).

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Automakers in the automotive hub of India can operate at full capacity



CHENNAI, India (Reuters) – Global automakers such as Renault-Nissan, Hyundai Motor Co and Ford Motor Co can operate their entire workforce at India’s auto manufacturing hub starting Sunday, despite protests. of workers for safety in the pandemic.

The state of Tamil Nadu, one of the hardest hit in the country, allowed industrial units with export commitments to operate at 100% capacity, boosting its burgeoning auto industry.

New cases in the state have fallen from more than 30,000 a day in May to around 8,000, but they still account for a seventh of all cases in India, which ranks second after the United States in total infections.

“Any company that exports or supplies to export-oriented industries will be able to operate at full capacity as cases decline,” said a senior state government official.

An Indian court this month tasked industrial safety officials with visiting automakers in the southern state to draw up uniform safety guidelines.

The Madras High Court was responding to a case brought last month by workers from the Indian unit of the Franco-Japanese alliance of Renault SA Nissan Motor Co.

They called for operations to be halted, saying that social distancing rules were being violated and that the risk to their lives outweighed the health benefits provided by the company.

Unions of global automakers have written letters of protest, arguing that hundreds of workers at the Chennai auto manufacturing hub have fallen ill with COVID-19 and dozens have died.

Ford and Hyundai also stopped working at their plants last month after workers protested and some went on strike.

(Reporting by Sudarshan Varadhan; Edited by William Mallard)

(Only the headline and image for this report may have been edited by Business Standard staff; other content is automatically generated from a syndicated feed.)

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UPSC Civil Services 2021: Complete Strategy and Prep Tips for Preliminaries



Applicants should have a well-designed syllabus ready that allows them to cover the syllabus smoothly.

UPSC Civil Services 2021: Exams for UPSC Civil Services are coming up and for many Indians, the exams can be stressful as it is one of the most difficult exams to pass. Interested people prepare for months, even years in some cases. As every year, also this year thousands of applicants will take the exam. It should be noted that registrations have ended and the preliminaries are expected to begin on October 10 this year. The exam is usually done a bit earlier, but given the Covid-19 outbreak, the preliminaries will take place in October, providing additional preparation time for applicants for UPSC IAS 2021.

The preliminaries will have two roles. For Document I, indicative topics given include Geography, History, Economics, Politics, and more. For Paper-II, applicants will need to prepare for subjects like Interpersonal Skills, Communication, Decision Making, Aptitude and more. Anyone wishing to become an IAS officer will have to break through the preliminaries to get started.

Go the extra mile

This exam is unlike any other, and therefore preparing for the UPSC Civil Service will require additional effort. While preparing, the focus should be solely on the exam, and applicants are expected to go through a diverse amount of study materials.

Motto of a study plan

The curriculum covers various topics. Therefore, applicants should have a well-designed syllabus ready that allows them to cover the syllabus smoothly. Each indicative topic should be covered according to the study schedule and study milestones established. Candidates should honestly stick to the plan and ensure that no part of the syllabus is missed.

To be sure, the exam is detailed in a way that a mere cursory reading is not enough to break the exam and secure additional grades. To get the top spot on the civil service personnel selection lists, applicants must have a thorough understanding of each and every concept expected on the exam. Therefore, there is a risk of a negative mark.

There will be many sample articles, question banks, and other guides available on the market for your preparations. Candidates are also encouraged to refer to the IAS question papers for the past few years. This will allow them to understand how the document may arrive and will also be able to identify a number of important information.

Aside from this, applicants are required to take full mock tests for the upcoming UPSC Civil Service Preliminary Exam. To improve overall numbers and time management capabilities, IAS mock test resolution can be quite useful. Self-study is crucial at an extensive level along with memorizing important facts and figures as well as clear understanding of important concepts.

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It’s about the (asset) class



If one were to poll investors and investment professionals to determine their ideal investment scenario, the vast majority would no doubt agree – it’s a double-digit total return in every economic environment, each and every year. . Naturally, they would also agree that the worst case scenario is an overall decline in asset value. But despite this knowledge, very few achieve the ideal and many are faced with the worst case scenario. The reasons for this are diverse: misallocation of assets, pseudo-diversification, hidden correlation, weight imbalance, false returns, and underlying devaluation.

However, the solution may be simpler than you might expect. In this article, we’ll show you how to achieve true diversification through asset class selection, rather than stock selection and market timing.

The importance of asset class allocation

Most investors, including investment professionals and industry leaders, do not outperform the asset class in which they invest, according to two studies by Gary P. Brinson and Gilbert L. Beebower titled “Determinants of Portfolio Performance “(1986) (with L. Randolph Hood) and” Determinants of Portfolio Performance II: An Update “(1991) (with Brian D. Singer). This conclusion is also supported by a third study by Roger G. Ibbotson and Paul Kaplan entitled “Does Asset Allocation Policy Explain 40%, 90%, or 100% of Return?” (2001).

This underperforming phenomenon begs the question: If a US equity growth fund does not consistently match or outperform the Russell 3000 growth rate, what value has investment management added to justify its commissions? Perhaps simply buying the index would be more beneficial.

Furthermore, studies show a high correlation between the returns obtained by investors and the performance of the underlying asset class. For example, a fund or portfolio of US bonds will generally perform very similar to the Lehman Aggregate Bond Index, rising and falling at the same time. This shows that since returns can be expected to mimic your asset class, asset class selection is far more important than both timing to market and individual asset selection. Brinson and Beebower concluded that market timing and individual asset selection accounted for only 6% of the variance in returns, with strategy or asset class making up the remainder.

A breakdown of the factors that explain the variation in portfolio returns.
Image by Sabrina Jiang © Investopedia 2020

Wide diversification across multiple asset classes

Many investors don’t really understand effective diversification, often believing that they are fully diversified after spreading their investment across large, mid-cap, or small-cap stocks; energy, finance, health or technology stocks; or even invest in emerging markets. In reality, however, they have simply invested in multiple sectors of the equity asset class and are prone to ups and downs within that market.

If we looked at Morningstar-style indices or their sector indices, we would see that despite slightly variable returns, they generally stick together. However, when indices are compared as a group or individually with commodity indices, we do not usually see this simultaneous directional movement. Therefore, only when positions are held in multiple uncorrelated asset classes is a portfolio genuinely diversified and better able to handle market volatility, as high-yield asset classes can balance low-yield classes.

key findings

  • There is a high correlation between the returns investors earn on their positions and the performance of the underlying asset class for those positions.
  • True portfolio diversification is achieved by selecting and holding a variety of asset classes, rather than individual stock selection and market timing.
  • The ideal asset allocation is not static. Asset performance and their correlations with each other change, so monitoring and realignment are imperative.
  • Effective diversification will include asset classes of different risk profiles held in various currencies.

Hidden correlation between asset classes

An effectively diversified investor remains vigilant and vigilant because the correlation between classes can change over time. International markets have long been the mainstay of diversification; However, a marked increase in the correlation between global equity markets has been gradually occurring in the late and early 21S t centuries. It began to develop between European markets after the formation of the European Union, in particular the establishment of the Single European Market in 1993 and the euro in 1999. Throughout the 2000s, emerging markets have been more closely correlated with the US and UK markets, reflecting the high degree of investment and financial performance in these economies.

Perhaps even more worrisome is the rise in what was originally an invisible correlation between the bond and equity markets, traditionally the mainstay of asset class diversification. The growing relationship between investment banking and structured finance may be the cause, but on a broader level, the growth of the hedge fund industry could also be a direct cause of the higher correlation between fixed income and debt. stocks, as well as other smaller asset classes. For example, when a large multi-strategy global hedge fund incurs losses on one asset class, margin calls can force it to sell assets across the board, universally affecting all other classes in which it had invested.

Asset class realignment

The ideal asset allocation is not static. As the various markets develop, their variable performance leads to asset class imbalance, so monitoring and realignment are imperative. Investors may find it easier to get rid of underperforming assets by shifting investment to asset classes that yield better returns, but they should be aware of the risks of overweighting any asset class, which can often be compounded by assets. effects of style variation.

An extended bull market can lead to an overweight in an asset class that may require a correction. Investors should make their asset allocation at both ends of the performance scale.

Relative value of assets

Return on assets can be misleading, even for a seasoned investor. They are best interpreted in relation to the performance of the asset class, the risks associated with that class, and the underlying currency. You cannot expect to receive similar returns from tech stocks and government bonds, but you must identify how each fits into the total portfolio. Effective diversification will include asset classes of different risk profiles held in various currencies. A small profit in a market with a currency rising relative to the currency in your portfolio can outperform a large profit on a declining currency. Similarly, large gains can turn into losses when converted back to a stronger currency. For assessment purposes, the investor should analyze the different asset classes in relation to their “local currency” and a neutral indicator.

The Swiss franc, which has been one of the most stable currencies since the 1940s with relatively low inflation, can be a benchmark against which to measure other currencies. For example, in a year in which the S&P 500 rose approximately 3.53% when taking into account the devaluation of the US dollar against other currencies in the same year, investors would effectively experience a net loss. In other words, an investor who chose to sell his entire portfolio at the end of that year would get more US dollars than a year earlier, but the investor could buy less with those dollars than the previous year relative to other foreign currencies. When the local currency depreciates, investors often ignore the steady decline in the purchasing power of their investments, which is similar to holding an investment that yields less than inflation.

The bottom line

Too often, private investors get bogged down with stock picking and trading activities that are not only time-consuming, but can be overwhelming. It could be more beneficial, and much less resource intensive, to take a broader view and focus on asset classes. With this macro view, the investor’s individual investment decisions are simplified and can even be more profitable.

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Government open to more measures to boost the economy: CEA KV Subramanian



The government is open to presenting more measures to boost the economy that has been hit by the second wave of the coronavirus pandemic, says Chief Economic Advisor (CEA) KV Subramanian.

However, he added that the demand for a new stimulus package should be seen in the context of a series of initiatives taken by Finance Minister Nirmala Sitharaman in her budget for 2021-22 presented in February.

The Chief Economic Adviser was responding to a suggestion made by some industry bodies that the government needed to present a stimulus package of Rs 3 lakh crore to boost the economy, which was severely affected by the second wave of the coronavirus pandemic. in April-May.

According to an assessment by the Reserve Bank, the second wave has cost the nation around 2 lakh crore rupees in terms of lost production.

“Like last year, we remain very open to proposing more measures as well … but I think it is really important to take into account the big differences between last year and this year when we talk about stimulus,” he said. In an interview.

Developing its point, the CEA said that unlike the previous budget that was framed before the pandemic, the 2021 budget was introduced in the midst of the pandemic and had already incorporated significant fiscal expansion.

The focus is particularly on infrastructure spending that leads to construction activity and subsequently to job creation in the informal sector and demand generation, he said. It was witnessed during the January-March quarter of the last financial year, he added.

Significant government capital spending led to a 15 percent rise in the construction sector in the fourth quarter and gross fixed capital formation to GDP rose to 34 percent, the highest in the past six years.

By emphasizing that the ultimate goal is to ensure that the economic recovery accelerates, he said, the government will do whatever it takes to ensure it.

Regarding food security for the poor, he said, the government has already extended the free food program for a population of Rs 80 million until November.

Prime Minister Garib Kalayan Yojana’s extension would cost around Rs 70 billion, he said, adding that free vaccination for all is another important economic measure.

“The vaccine as I would appreciate is by far the most important from a perspective to get back on the path of economic recovery,” he said.

On the effect of the second wave on growth, Subramanian said, there will be some impact, but it is not likely to be very large.

The 2020-21 Economic Study released in January this year had projected 11 percent GDP growth for the current financial year ending March 2022.

India’s economy contracted 7.3% less than expected in the fiscal year ending March 2021 after the growth rate recovered in the fourth quarter, just before the world’s worst outbreak of infections. by coronavirus hit the country.

The GDP impression was better than the expected contraction of 8 percent for 2020-21 as projected by the Economic Survey.

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Stock Markets on Monday – Market Guru offers information about the upcoming week; watch out for THESE LEVELS at Nifty, Bank Nifty



If you think the stock markets had a weak close on Friday, the last trading day of the week, pause while market guru Anil Singhvi gives the big picture. While the BSE Sensex finished almost flat albeit with a positive bias, NSE Nifty 50 and Bank Nifty finished in the red.

The managing editor of Zee Business said markets opened without much noise and then fell sharply. That was mainly due to the poor performance of the US markets on Thursday. Dow finished 200 points down. On Friday, Dow Futures also fell, he said. Foreign institutional investors were also on the selling spree in both the spot market and the futures and options (F&O) markets.

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The Nifty took a free fall and finished around 15,450, which was a crucial level. The previous useful life was 15,431 and the markets received support at this level.

But the last 90 minutes saw a surprising pullback in the markets. There was no shortage of action, Singhvi opined, adding that this was a much-needed correction in the markets.

He said next week would depend on how US markets fare on weak ones. If sentiments are positive, Indian stock markets may rise again, Market Guru said.

Singhvi said Zee Business has been emphasizing since early June that Indian markets will now receive signals from global markets. The months of April and May have seen tremendous momentum based on quarterly earnings results.

Metals have been one of the biggest losers, although they are unlikely to fall further, he said.

Crucial Nifty, Bank Nifty levels:

  1. The uptrend will continue until Nifty trades above 15.575.
  2. If the Nifty manages to reach between 15,800 and 15,825, it is very likely that Nifty will reach its all-time high and can reach 16,200 levels.
  3. Bank Nifty is not going as strong as the Nifty. There will be no more weakness until it surpasses level 34,400. The force will return once it crosses 35,000 marks.

See full analysis here

He said next week will be weak as the week will also see monthly expirations for the futures and options markets, he said. Global markets have also experienced weakness and market corrections have ensured that positions are much lighter now.

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