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Monday 16 July 2018

Infosys consolidated net profit growth in first quarter


Global software major Infosys on Friday reported Rs 3,613 crore consolidated net profit for the first quarter of fiscal 2018-19, registering a 3.7 per cent annual growth from Rs 3,483 crore in the same period year ago.Sequentially, however, net profit declined 2.1 per cent from Rs 3,690 crore a quarter ago.

"Consolidated revenue for the quarter (Q1) under review grew 12 per cent annually to Rs 19,128 crore from Rs 17,078 crore in the like period year ago and 5.8 per cent sequentially from Rs 18,083 crore quarter ago," said the city-based IT major in a regulatory filing on the BSE.

Digital revenues contributed $803 million, accounting for 28.4 per cent of the total income from operations, with 8 per cent sequential growth and 25.6 per cent annual growth in constant currency.

"The strong revenue and margin performance in the quarter shows our dual emphasis on agile digital and Artificial Intelligence (AI)-driven core services are resonating with our clients," said Infosys Chief Executive Salil Parekh.

Operating margin at 23.7 per cent is in line with the guidance given in the beginning of the quarter in April.The company clarified that profit decreased Rs 270 crore for the quarter following re-measurement of its assets for sale, including consideration of progress in negotiations on offers from prospective buyers for its US-based Panaya software subsidiary."

A reduction of Rs 270 crore has been recorded in the fair value of Panaya for disposal," pointed out a statement.With 8 per cent sequential growth in agile digital business and increase in large deal wins to over $1 billion, Parikh said the company was seeing good traction in the market."Large deal wins have crossed $1billion, with financial services accounting for 40 per cent of them," said the outsourcing firm in the statement.

The number of $100-million clients increased by four to 24 during the quarter."Our emphasis on deepening client relationships resulted in strong client metrics, including increase in $100-million+ clients to 24," said Chief Operating Officer U.B. Pravin Rao.The company has retained the 6-8 per cent annual revenue guidance it gave in April for the fiscal (FY 2019), with the operating margin guidance at 22-24 per cent.

Utilization (excluding trainees) touched an all-time high of 85.7 per cent during the quarter."We had broad-based financial performance on multiple fronts, including return on investment crossing 25 per cent, free cash flow up 32 per cent quarterly and operating margins at the upper quartile of the guidance", said Chief Financial Officer M.D. Ranganath.The company added 70 new clients in the quarter as against 73 quarter ago and 59 year ago, taking their total to 1,214 as against 1,204 quarter ago and 1,164 year ago.

The company also announced 1:1 bonus share to mark 25 years of its public listing in India and increase the liquidity of its equity shares."The Board has recommended the issue of 1 bonus share for every equity share held to celebrate the 25th year of the company's public listing in India and further increase liquidity of its shares," said the statement.

The company has also decided to give a stock dividend of one American Depository Share (ADS) for every ADS held to mark the occasion.This is the eighth time Infosys rewarded its investors, including promoters, co-founders, institutional and retail investors, worldwide, with the first being on August 19, 1997 and previous on June 15, 2015.The company, however, gave 3:1 bonus share on July 2, 2004, while it has been 1:1 on six times in 2015, 2014, 2006, 1999 (twice) and 1997.

The company's blue-chip scrip of Rs 5 face value gained Rs 14.50 at the end of Friday's trading on the BSE to close at Rs 1,309.10 per share as against Thursday's closing rate of Rs 1,294.50 and opening price of Rs 1,310. The scrip also touched a high of Rs 1,331.15 and a low of Rs 1,300.15 during the intra-day trading sessions.

Meanwhile, the Board has appointed Michael Gibbs as Independent Director for three years on the recommendation of the nomination and remuneration committee.

Gibbs served as a global information officer with the British Petroleum and has vast experience in the oil and gas sector in Britain and the US.In a related development, the company delisted its ADS from Euronext Paris and London on July 10 and July 5, respectively, due to low average daily trading volume of its shares on these exchanges.

owler, Bengaluru

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What is Intrinsic Value


Intrinsic Value


Intrinsic value is the perceived or calculated value of a company, including tangible and intangible factors, using fundamental analysis. Also called the true value, the intrinsic value may or may not be the same as the current market value. Additionally, intrinsic value is also used in options pricing to indicate the amount that an option is "in the money."

Intrinsic value can be calculated by value investors using fundamental analysis to look at both qualitative (business model, governance, and target market factors) and quantitative (ratios and financial statement analysis) aspects of a business. This calculated value is then compared to the market value to determine whether the business or asset is over- or undervalued.

The discounted cash flow (DCF) model is one commonly used valuation method used to determine a company's intrinsic value. The discounted cash flow model uses a company's free cash flow and weighted average cost of capital (WACC), which accounts for the time value of money, and then discounts all its future cash flow back to the present day.

[Intrinsic value is a core concept of value investors seeking to uncover hidden investment opportunities. In order to calculate intrinsic value, you need to have a strong understanding of fundamental analysis. Investopedia's Fundamental Analysis Course will show you how to calculate the true value of a stock and capitalize on undervalued opportunities. You'll learn how to read financial statements, use ratios to quickly determine value, as well as learn other techniques used by professionals in over five hours of on-demand videos, exercises, and interactive content.]


The intrinsic value of call options is the difference between the underlying stock's price and the strike price. Conversely, the intrinsic value of put options is the difference between the strike price and the underlying stock's price. In the case of both call and put options, if the calculated value is negative, the intrinsic value is given as zero. Intrinsic value and extrinsic value combine to make up the total value of an option's price. The extrinsic value, or time value, takes into account the external factors that affect an option's price, such as implied volatility and time value.

Intrinsic Value of Options Examples

Intrinsic value in options is the in-the-money portion of the option's premium. For example, if a call option's strike price is $15 and the underlying stock's market price is $25 a share, then the intrinsic value of the call option is the stock price less the strike price, or $25 - $15, so $10. Assume the option was purchased for $12, so the extrinsic value is the purchase price of the strike less the intrinsic value, or $12 - $10, so $2. An option is usually never worth less than what an option holder can receive if the option is exercised.

On the other hand, assume an investor purchases a put option with a strike price of $20 for $5, when the underlying stock was trading at $16 a share. Therefore, the intrinsic value of the put option is the strike price less stock price, or $20 - $16, so $4; and the extrinsic value is the purchase price of the strike less the intrinsic value, or $5 - $4, so $1.

Now, let's assume that an investor purchases a put option with a strike price of $15 for 50 cents when the underlying stock was trading at $16. The strike price less the stock price, or $15 - $16, is negative, therefore, the intrinsic value would be $0 because the option is out of the money. However, the option still has value, which only comes from the extrinsic value, the purchase price less the intrinsic value, or 50 cents - $0, which is 50 cents.

Read more: Investopedia on Facebook

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Tuesday 20 March 2018

PSU Bank sector heaven or hell ?


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buying what looks cheap can backfire sometimes

Before the financial crisis of 2008 Myla was a hero in fund manager community.

Fund manager bits benchmark simultaneously 15 years in a row.

Instead of making exist when the crisis first rare its head Myla jump into the Fire.

Loaded financial stock and give promise to investor dust will settle and he proved with handsome  gain.

Criticism and  dust On fund manager investment portfolio is not settle. as per miler,  he admitted He was completely blind by statistical data.

Wall Street  elated highlighted the mention provided a lesson for fund manager and other value investor istock local cheap but sometimes that's for good reason.

In this article we want to discuss  public sector utility banking space

valuation of the stock is not good for public Bank connected with government. some investor look banking sector for long-term purpose main dividend means the dividend,

Quote by Charlie all  I want to know where I am going to die so I will never go there

In 4 year history we have never ever recommended some  stock related Sector

Large number of investor staying away from short- term trading because they think risky option our ID strong fundamental offer.
Make a identification short term investment is good some of the best returns.

Stock  c o u l d Go all the way zero eliminating  possibility of making come back when business condition improve.

this doesn't mean you should  no matter how mouth watering the prospects offering king big return from specific sector this man think and go.

Happy investing from Money Guru on dated 20 March

Wednesday 12 July 2017

For SaaS Industry Difficult for Stand as no. 1 in Competitive Market


There is no longer any doubt that Software-as-a-Service (SaaS) solutions have become the preferred method for organizations of all sizes to acquire business applications to satisfy their escalating customer and end-user demands while keeping pace with intensifying competitive pressures.

But, the SaaS industry and its growing legion of enterprise customers are falling into the same software development and implementation traps that derailed the previous generation of on-premise, perpetual license ISVs who the leading SaaS vendors successfully disrupted over the past decade.

Gartner latest forecasts estimate that SaaS revenue worldwide will increase 20.1% in 2017, and jump from $46.3 billion at the end of this year to $75.7 billion by yearend 2020. Gartner says, “…more than 50 percent of new 2017 large-enterprise North American application adoptions will be composed of SaaS or other forms of cloud-based solutions."

Corporate software acquisition preferences and policies have dramatically shifted away from traditional, on-premise legacy applications to a new generation of on-demand, Cloud-based alternatives for a variety of reasons. SaaS adoption has gained momentum as a widening array of organizations have taken advantage of the lower upfront costs and faster time-to-value of many of today’s SaaS solutions.

Some organizations won't spend more on annual SaaS subscriptions because they are stuck on a previous version of the SaaS solution and are no longer able to take full advantage of the latest features - Jeffrey Kaplan in the founder and Managing Director of THINKstrategies

Although many SaaS deployments have taken longer than anticipated and entail specialized software development and systems integration skills to connect the new applications with legacy databases, most organizations have still been pleased with the operational efficiencies and additional functional capabilities delivered by the SaaS solutions.

As a result, many organizations are expanding their SaaS subscriptions to support additional workers, and adopting additional SaaS solutions to redesign more of their business processes. However, these organizations are often finding that their SaaS implementations are getting a lot more complicated.
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There are two primary reasons SaaS deployments become harder rather than easier over time.

First, most organizations are customizing the SaaS solutions so they will support their existing operations.

And second, the SaaS vendors are more than happy to let their customers do as much customization work as they like because it locks the customers into the SaaS vendors’ solutions.

In fact, many SaaS vendors are increasingly willing to let their enterprise customers sit on an old instance of their SaaS solution to accommodate all their customizations. However, this tactic is preventing these organizations from capitalizing on the latest advancements in their SaaS solutions.

SaaS wasn’t supposed to work this way.

The pioneers in the SaaS market, such as Salesforce.com, have always promoted the virtues of a single version of their applications being able to address the common needs of their customers. But they have recognized that there are industry-specific requirements and other operational issues facing many organizations that demand specialized skills and SaaS products. As a consequence, today’s SaaS product portfolios are becoming as complicated as the previous generation of perpetual license software applications.

Third-party software development and systems integration firms are prospering in this environment as they capitalize on the rapidly growing market for SaaS customization projects. It is no wonder that the biggest booths at the front of Salesforce.com’s Dreamforce conference show floor are populated with the largest professional services firms, such as Capgemini and Deloitte.

In fact, the market for SaaS/Cloud integration services has grown so rapidly that nearly all of the most prominent Cloud integrators founded over the past decade have been acquired by the biggest professional services companies in the world. Over the past two years, Accenture gobbled up Cloud Sherpas, IBM bought Bluewolf, and Appirio was acquired by Wipro.

Although everyone expects the rapidly evolving assortment of artificial intelligence (AI) and machine learning (ML) capabilities to automate various aspects of software development, deployment and support, the reality is that most organizations need a new set of experts to help them evaluate, implement and administer these new solutions in their environments. In response, Salesforce.com and a handful of venture firms are establishing dedicated investment funds to support the next generation of AI/ML oriented systems integrators.

Even with the promise of AI and ML on the horizon, I’m now hearing from a growing number of organizations that they don’t want to spend more on annual SaaS subscriptions because they are stuck on a previous version of the SaaS solution and no longer able to take full advantage of the latest features.

If this trend continues, the SaaS industry could face a significant speedbump in the future and independent systems integrators will be the only winners in this environment.


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Wednesday 14 June 2017

Major US Banks Have Invested in Fintech


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Since 2012, the top ten US banks by assets under management have participated in 72 rounds totaling $3.6B to 56 fintech companies.

While investment activity dropped on a quarterly basis in Q1’17, four of the last five quarters have seen over $1B invested into VC-backed US fintech startups.

US banks and their venture arms have been active investors in the private company fintech ecosystem. We used CB Insights data to visualize the fintech investments of the top ten US banks by assets. Specifically, we looked at investment activity from 2012 – 2017 year-to-date.

Key takeaways

Since 2012, the top ten US banks by assets under management have participated in 72 rounds totaling $3.6B to 56 fintech companies.
Ranked by the number of unique portfolio companies, the cohort’s three most active investors are Citi, Goldman Sachs, and JP Morgan Chase — in that order. Citi (including Citi Ventures) participated in 30 rounds to 22 companies, Goldman Sachs in 31 rounds to 25 companies, and JP Morgan Chase in 14 rounds to 13 companies. We also took a different view of these three firms using CB Insights’ Business Social Graph and highlighted where all three co-invested:

Goldman Sachs is focusing on payments, investing in six companies in the space. Between 2012 and 2017 year-to-date, the firm participated in eight financing rounds totaling about $570M. Vietnam-based MoMo operates a mobile wallet and offers branchless banking services for traditionally unbanked individuals and has raised nearly $34M in two rounds with participation from Standard Chartered and Goldman Sachs. Goldman was also the only one of the cohort to invest in real estate fintech companies, namely Cadre and Better Mortgage.

All ten banks have blockchain investments. Eight of the ten became part of R3, a banking blockchain consortium, although Goldman Sachs, JP Morgan Chase, and Morgan Stanley have since exited the consortium.

Although the second largest bank by assets, Bank of America takes the sixth spot on this list, with only six fintech companies in its portfolio. additionally, Bank of America was the only member of this cohort to invest in Bill.com, participating in the company’s $38M Series E. The payments processing platform is valued at nearly $268M, having raised $123M in funding.

Kensho saw lots of overlapping interest, with six of the cohort investing in its $50M Series B, which valued the company at $500M. Kensho applies data analytics and machine learning to financial research.

Make Your Sales Data a Lot Better with a Little Discipline - Jim Fowler


Business intelligence is projected to grow to a nearly $26.9 billion industry by 2021, but its solutions are only as good as the data behind it. IBM determined that inaccurate data took a $3.1 trillion bite out of the U.S. economy in 2016. That’s why decision makers require spot-on data and efficient, streamlined systems to maintain it. Otherwise, they’ll end up with what I call a “rat’s nest”: dirty, duplicate, or dead information that obscures useful insights for making smart decisions.

Too many sales teams (and other departments) enter data by hand but create fresh entries instead of searching their systems and updating existing accounts, which muddies their data sets. Manual data entry isn’t ideal — it can be costly, time-consuming, and open to misinterpretation.

Let’s say a prospect from IBM fills out a website lead form and enters “IBM” instead of the full company name. And let’s say that an account existed under the full name, International Business Machines Corporation, so that the entry listed under the abbreviation results in data fragmentation and confusion. Next come duplicate account records with notes, tasks, and contact information haphazardly attached — a total rat’s nest.

The best way to keep data clean is to use a globally known, unique identifier, or a “data backbone.” My company prefers to use URLs as identifiers. They’re free, globally recognizable, high-quality data points that enable you to efficiently gather information on a business’s industry, online activities, and functionality. For example, Cisco is a company that also goes by Cisco Systems, Inc. and Cisco Precision Tools. 

If sales containers required users to type in one unique URL, www.cisco.com, for all those different branches, it’d be much more difficult to create duplicate accounts, which helps keep data clean. Perhaps more important, URLs facilitate communication between people, systems, and even departments. 

Whether it’s the customer relationship management platforms used by sales teams, enterprise resource planning software used by purchasing teams, or the account-based marketing technology employed by marketing teams, the business intelligence platform can recognize a unique URL and attach it to clean, usable data. Unique identifiers let you know you’re pulling from the sources and contacts you’ve intended to track.

Establishing a data backbone is one part of the business intelligence equation, but fleshing out the ribs (contact information, credit history, competitive intelligence, etc.) can make data seem overwhelming without a good process for managing it. The following strategies can help you improve your business intelligence through better data management:

Clean house on marketing and sales contacts

Organizations of all stripes can use their primary identifiers (their backbones — in the above example, URLs) to make sure their sales and marketing teams work from a unified contacts list. Businesses should remove duplicate accounts from data sets, so that marketing, sales, and other departments can work more cohesively when reaching out to prospects. For example, Amnesty International integrated its firmographic data and improved donor relations by avoiding multiple solicitations, which made for timelier campaigns. Using only the most relevant, searchable information, and then assigning it a unique identifier, helps tidy up data for more effective work.

Coordinate communication around industry news and events. 

A business’s competitive data should include opportunities to boost communication on the basis of events and industry happenings. For example, our clients in the sales enablement space draw on our competitive graph, firmographic data, and news alerts to identify trigger events for their users. Say you’re a mobile phone provider looking to roll out a new bundled internet and phone plan at a competitive price. Using data to compile national averages of usage and monthly payments, a sales team can craft its promotional material and pitches around what its product does that the competition does not. Our company’s daily snapshot uses blogs, articles, and other information to detail where a company is positioned in its competitive field. You can take a similar approach by arming sales with valuable information for engaging with prospects.

Identify potential prospects according to current clients 

Use a competitive relationship graph and firmographic data to help you find new opportunities based on your previous successes. Sales reps can identify lookalike companies, those with profiles similar to existing accounts, to discover other companies that generate similar revenue or that compete in the same space. Pinpointing these possible competitors helps identify prospects faster and more efficiently. This also works for identifying expansion opportunities and new markets. One baby clothing retailer in the UK used business intelligence on sales performance to determine which items to stock in each store and where to potentially expand to new locations.

Map and categorize incoming leads

Segmentation is critical in account-based marketing, so it’s important to accurately categorize leads entering your funnel. Attributes recorded in the data system will then direct your marketing team to which leads it should target with certain campaigns. Companies that tailor their strategies this way see increased conversion rates, lower churn, and high customer satisfaction. 

SM Marketing Convergence Inc., a retail-affiliated marketing company in the Philippines, used business intelligence and visual analytics tools to process more than 200 million transactions made across 500 stores within a year. The report showed what tactics worked and how to segment future leads.

Clean data construction is the way forward, and to ignore the need is to sacrifice your competitive edge. A strong backbone is the key to riding the growing data wave to prosperity.

Jim Fowler is founder and CEO of Owler, writer of this blog a community-based business insights platform. Prior to Owler, Jim founded Jigsaw in 2003 and was CEO until it was acquired by Salesforce in 2010.


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Monday 12 June 2017

How a Data Center Works from Data Perspective


“Data Center” 
Well judging by the above, you may see that the Data Centers sector is going BOOM as we speak! Before going further ahead, let’s consider what exactly they are. 

Data Centers are highly specialized environments specifically organized for safeguarding a company’s most valuable equipment and intellectual property. It is considered very essential in undertaking storage and management of huge data (or simply called ‘Big Data’ in this marketing day-and-age) and information. 

Nowadays, Data Centers continue to be the main service hub to drive innovation with a new paradigm for business agility and response.

Though this industry and in general the number of data centers are blossoming, information related to them is not quite handy. There are close to hundreds of thousands of data centers currently present and more than hundred being added up in a quarter across the globe which are next to impossible to track and follow up on for every organization. 

Apart from this, many facets of a data center need constant requirement of external resources such as hardware & software management, fire safety providers, electrical & power controllers, energy efficient switches, UPS & Generators, etc. to drive its day-to-day executions.

Wouldn’t it be just great if you could get all this info straight away which would help you to target and reach them ahead of your or any competition? 
Though our unique DaaS suite, we have successfully helped our enterprise clients with vital insights on the upcoming data centers along with complete information about the decision makers and influences. 

This has aided our clients in reaching out to the correct people at the correct time resulting in maximum business ROI from their marketing and sales outreach. Along with this, we also help to build/refine contact data with up-to-date, relevant and accurate contact information for every targeted business, including generating the names of multiple decision makers/influences at each organization as per their demand.


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Monday 3 April 2017

Era of Big data – Revolutionary


The massive amount of big data from source generates in hour by hour.

Enterprise has learned to harvest big data to earn higher profit offer better services and gain a deeper understanding their target clientele.

The basically huge amount of data generates on a day to day basis volume of data not relevant as what organization do with data.

Analyze big data can lead to insight that improves strategic business decision marketing.

Big data – valuable

Harvesting big data from any source enable reduction of price, time etc.

Big data with high energy analytics
-    Identify reason for failure
-    Generating voucher – point of sale based

Example
-    Automotive industry
-    Entertainment
-    Social media

Type of big data
-    Structure – refine – volume
-    Under structure – large volume – under values

Four variable – big data
-    Volume
-    Variety – Data source, Mass data append, speed of collection
-    Velocity – very high flow of data
-    Veracity – incompatibility

Some suggested Big data technology
-    MapReduce
-    Hadoop
-    Hive

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Wednesday 29 March 2017

Interactive content - the featured story on the front page


Just to make sure we’re in sync, “interactive content” is content where the audience actively participates instead of just passively reading, watching, or listening. Iterative content includes things like quizzes, assessment tools, calculators, configurators, etc. (As a disclosure, I’m also the co-founder and CTO of ion interactive, a company that provides software to let marketers produce interactive content, which I’ve previously described as marketing apps.)

Now, The New York Times has published interactive content before — a number of interactive infographics, such as How Family Income Predicts Children’s College Chances, and several simple quizzes, such as a Did a Human or a Computer Write This? and political columnist Gail Collins’ satirical Fourth of July Quiz. But as far as I know, this was the first time they’d created an assessment with this much utility and featured it as the top story on their front page.

So what does this have to do with marketing and marketing technology?

Don’t worry, not planning on becoming a media commentator. But there are clearly many parallels between publishers and marketers these days. Primarily, both are struggling in The Great Content Wars — how to grab people’s attention and engage them in some meaningful way, so as to build and maintain a monetizable brand, in a world of essentially infinite content.

To break through the deafening noise, ironically, each has been advised to act more like the other. Native advertising, for better and worse, is one product of that rendezvous.

While there are still fundamental differences between marketers and publishers — underlying business models being the most obvious and important — there is enough overlap in their shared mission to produce and distribute content effectively that there are opportunities to cross-pollinate ideas from one to the other.

Interactive content really started taking off with BuzzFeed’s Which State Do You Actually Belong In? quiz, which has garnered over 40 million page views — and high praise from Mary Meeker of KPCB for the way they’re “reimagining content.” Marketers took the cue of its popularity, and have started producing quizzes as a more regular part of their own content marketing and demand generation programs. For instance, this example of a lead generation quiz by Orbitz for Business.

But simple quizzes only go so far. Most of them have more of an amusing, entertainment bent and offer relatively limited utility to participants. Marketers who have taken Jay Baer’s concept of Youtility to heart have pushed to develop more valuable interactive content for prospects. Two good examples are Dell’s Mobility Assessment and the quiz (which is really an assessment) embedded in this Pearson interactive e-book.

These are not sugary, snackable content puffs for a quick laugh and a share. These are meaty assessment tools that require thoughtful user engagement and deliver in-depth consultative results. (I would also suggest that they are ideal vehicles for improving sales and marketing alignment — but as I’ve already disclosed, I’m biased on this subject.)

The New York Times assessment on their home page is a significant step in that direction in the world of publishers though. I can’t think of any other mainstream news publisher that has built something as sophisticated as this assessment as a way of telling a front-page story.
This is definitely not boilerplate interactive content.

It will escalate more “software thinking” in content marketing design — which is an opportunity for companies to differentiate themselves online and an opportunity for tech-savvy marketers and marketing technologists to demonstrate the relevance and power of their hybrid skillsets.

It’s one more step along in our journey from communications to experiences.


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Friday 3 February 2017

Todays Stock Market Summary Chart Of Friday February 3, 2017


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  • 12 April 2013. Infosys corrected by a remarkable 22%, wiping off Rs 357 billion in investor wealth. The reason: disappointing revenue guidance.
  • 17 October 2014. Tata Consultancy Services (TCS) corrected by 8.5% in a single session. The reason: disappointing revenue guidance.
  • In Trump's first month as president, Infosys and TCS corrected by 8% and 7% respectively. The reason: prospects of disappointing revenue guidance.

 Do you see a pattern?

The recent correction of IT majors, though substantial, is nothing new for the sector. Nor is the reason for the correction.

The world is speculating on a Trump crash. So naturally, every correction to Indian IT is branded as a fallout from the Trump crash.

But is this so-called Trump crash a reason to act on Indian IT stocks? Of course, the answer does not depend only on stock prices. Other factors are relevant.

So we put three key questions to our in-house IT sector expert. Incidentally, they're the same three questions we asked in 2013 and 2014.

Is the business model affected? The immigration bill seeks to double the minimum salary for IT hires to US$1,30,000 from the current US$60,000. It also seeks to make a master's degree compulsory, among other requirements. And of course, the cost of the visa would go up.

Now, unlike what Trump would like to believe, Indian IT firms are no longer just back-offices to the world. Higher-value contracts have been critical to companies for several years now. And changing the mix of employees to comply with the requirements does no permanent damage to their business model.

Can the risk be hedged? Companies would need to adopt various counter measures, like hiring more locals, getting more work done from India or other offshore locations, cutting down on low-margin clients, and stepping up automation.

None of this is impossible to execute. And if done with long-term interests in mind, the onetime effort may be well worth it. So perhaps what some now perceive as a negative development will actually be a boon for certain Indian IT players.

What's the actual impact on fundamentals? If passed into law, the bill would put pressure on Indian IT firm margins inFY18. The actual impact, however, may differ from company to company. Several of them have reduced their exposure to the US in recent years. And even the companies that would hit hardest likely have enough cash on their books to recover from the shock.

Indian IT companies will need to rise to Trump's challenges. But fortunately, most were already gearing up for this. Trump may have only accelerated their defence.

So as long as you aren't worried about the revenue guidance in the coming quarters, you need to do just one thing: Stay vigil on valuations.

And you never know, the Trump crash may be an opportunity to act on not just IT but lots of other safe stocks as well.

Chart of the Day  

Large Indian IT companies, on an average generate more than 50% of their revenues from the US clients. They have built a strong client base over the years in the US market. If the suggested changes for immigration get cleared, the cost component for the Indian IT companies will go up. The need to reduce their US exposure and move to other geographies is a given.

Will Trump Mania Impact IT Companies Revenues from US?

But we believe that it is unlikely that the companies will substantially bring down their focus on the US. Instead companies may look out for other means to reduce costs or protect margins.

If you have been with us for long, you know that we have played the gentleman's game of value investing...and we have a solid track record of success there.

But you pay a price for this gentlemanly approach to investing. You have to patiently wait for the bulls to come to you. And you have to let go of many fast, raging bulls.

 Substantial part of the of central government expenditures are undertaken by state and local governments. Most states in India like the Centre run budgets where expenditure is higher than revenue, leading to deficits.

As reported in today's Business Standard, the fiscal responsibility and budget management (FRBM) review committee believes India's debt to GDP ratio will be 60% in 2023. This comprises 40% for the Centre and the balance 20% for state governments. As per the current available data, the outstanding debt positions of the Centre and state governments show the combined liabilities at 69.5%.

So containing this burgeoning debt is certainly a tall task for the government.

Generally, when the country's growth is soaring, some portions of debt is reduced. But that is nit excatly the case for FY17-18. The economy may continue to see impact of demonetization for months to come. Thus the nominal GDP growth may actually be much lesser than the projected11.75%.

The Budget has laid down large allocations towards social welfare. But it is important for the government to realize that while public spending is necessary, it will be important to keep its borrowings in check. Even the RBI has warned the government about this. 

In the meanwhile, after opening the day on a flat note, the Indian share markets have continued to trade on a weak note and are trading marginally below the dotted line. Sectoral indices are trading on a mixed note with stocks in the pharma sector and realty sector witnessing maximum buying interest. Auto stocks are trading in the red. 

At the time of writing, the BSE Sensex was trading down 68 points (down 0.2%) and the NSE Nifty was trading down 24 points (down 0.3%). BSE Mid Cap index was trading up by 0.6%, while the BSE Small Cap index was trading up by 0.8%.


 Investing mantra  


"Over the long term, the stock market news will be good. In the 20th century, the United States endured two world wars and other traumatic and expensive military conflicts; the Depression; a dozen or so recessions and financial panics; oil shocks; a fly epidemic; and the resignation of a disgraced president. Yet the Dow rose from 66 to 11,497". - Warren Buffett

Thursday 2 February 2017

Todays Stock Market Summary Chart of the Day Thursday February 2, 2017


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The markets reacted strongly with a near 500-point gain for the Sensex yesterday. But how should smart investors react to this budget? The dust settles and we take a closer look at it, one conclusion is unavoidable: Despite all of the speculation, hype, and hoopla in the days leading up to the budget, there's nothing really earth-shattering about it. It's just business as usual on most counts.

Yet, the kind of attention this exercise gets here in India, especially in stock market circles, it is only to be expected that the markets react strongly.

But from personal experience, I can tell you this: For many on D Street, it has become an outright excuse for speculation. The surrounding hoopla makes it difficult for investors to see through it. And easy to believe that they must 'do' something in response to it.

It is at times like these that it is most important to rise above the noise. Make no mistake, it is an important exercise and does affect some businesses more than others. But these differences in most cases are marginal and incremental. And seldom of the 'make or break' variety.

All put together, the annual budget exercise is very much a part of the 'normal' business landscape of companies. The multitude of tweaks made in it either help or harm the cause of a given company ever so slightly. But then again, that's true for all the continuous developments, both global and domestic, throughout the rest of the year.

Its collective approach to stock picking, its devotion to large safety margins in the purchase prices, and its dynamic debt component (fixed deposits/bonds) renders most developments that the economy throws at the business world, government budgets included, trivial.

MCM strategy as a sort of 'Chinese Wall' between the rough and tumble of the business world and our subscribers' returns. It ensures that over the longer term, our returns remain not just protected, but well ahead of the general market's returns.

Chart of the Day  

The Union Budget for 2017-18 was presented by finance minister, Mr Arun Jaitley yesterday. 

The markets seem to give a thumbs up to the budget, the Sensex closed up 486 points for the day. Does the budget play a crucial role for a serious long term investor? What role if any do the valuations play in prospective returns. We looked at the price to earnings ratio of the Sensex on the budget day as a proxy for valuations and noted the following 3 year compounded annual return going forward.

Budget or Not - It is the Valuation That Counts  -       

We found that the market returns are agnostic to the budget in the long run. What mattered more was the valuations at that point in time. Cheap valuations are a big driver of future returns.

Be it the Union Budget, GST or a great monsoon, you always got to ask the all-important question: Everything said and done, am I paying too much for the stock in relation to its intrinsic value?

For even though the budget may be path breaking and the economy may have some great years ahead of it, when you pay too much, even a good stock can quickly turn into a bad investment.

 After opening the day on a flattish note, the Indian stock markets fell below the dotted line. At the time of writing the BSE-Sensex was trading lower by about 42 points (down 0.2%), while the NSE Nifty was trading lower by 15 points (down 0.2%). Sectoral indices are trading on a mixed note with stocks in the metal sector and auto sector witnessing maximum selling pressure.     

                    Today's Investing Mantra         


"Whether we're talking about socks or stocks, I like buying quality merchandise when it is marked down" - Warren Buffett

Tuesday 24 January 2017

Lead generation Marketing - change your view for Digital world


In this blog, we discuss revolutionary lead generation tactics for better double-figure ROI. We focus global trend, techniques on social media like Facebook, twitter etc.

We give advertise on newsletter named paper advertising /classified and telemarketing it’s outdated for business.

In this post, we make the strategy for three tried-and-true lead generation tactics ( direct mail, trade show, and cold calling) and four emerging digital lead generation tactics ( email marketing, SE marketing, display advertising, and SMO Advertising).

Lead generation Marketing - change your view for Digital world
Lead generation Marketing - change your view for Digital world

Marketer, who want achieve target like business ROI doubled in short period, using all seven of these tactics for predictable future.

Some marketer frequently asks what a difference between brand awareness and lead generation is.

Brand awareness Vs Lead generation

In general, the marketing world is ruled by Brand awareness and Lead generation marketing.  The two disciplines are big brothers of marketing and they have kind of relationship with each other. We just target in a post how to attract customer with a technique of lead generation marketing.

Difficult to measure the exact percentage of companies who use lead generation marketing technique. Most of the organization use traditional lead generation technique like the trade show, direct mail and cold calling) without taking help of online measures (nos.)

Lead generation – specifically target set of customer who has need product and services.

In brand awareness/marketing creative and instinctive (easy to use and understand) and for the lead generation we used mathematics and analytics.

In brand marketing, we create imagination like bright idea OR think outside of box kind of discipline. With this create the impression in prospect’s and customer’s mind with displaying and broadcasting.  With approx. no’s we finalize our branding going success.

Lead generation marketing is all about the science of approach. Creativity is involved but small.

In next post, we will deep dive into ….. Product and quality measure with two disciplines and how to save every penny from wasting.



Note : Any blog OR content suggestion you have , please mail me on prabhakara.dalvi@gmail.com