A linked savings account is a type of savings account that is linked to a different account, for instance negotiable order of withdrawal (NOW), by its account number. By holding a linked savings account, the customer can keep most of the funds in the savings account and as per requirement can transfer money over into the demand account.
What is data warehousing? Data warehousing is defined as the method of gathering & handling data from different sources to get meaningful output and insights. Data warehousing is central to the BI system and is built for data analysis and reporting. Source: © nfo40555 | Megapixl.com In simple terms, a data warehouse is a large collection of data utilized by businesses to make investment decisions. What are the characteristics of data warehousing? Data warehouse has supported businesses in making informed decisions efficiently. Some of its key features are highlighted below: The data in a data warehouse is structured for easy access, and there is high-speed query performance. The end users generally look for high speed and faster response time – two features present in data warehousing. Large amount of historical data is used. Data warehouse provides a large amount of data for a particular query. The data load comprises various sources & transformations. What are the benefits of data warehousing? The Companies which used data warehousing for analytics and business intelligence found several advantages. Below are some of them: Better Data: When data sources are linked to a data warehouse, the Company can collect consistent and relevant data from the source. Also, the user would not have to worry about the consistency and accessibility of the data. Thus, it ensures data quality and integrity for sound decision making. Faster decisions: Through data warehousing, it is possible to make quicker decisions as the data available is in a consistent format. It offers analytical power and a comprehensive dataset to base decisions on tough truths. Thus, the people involved in decision making do not have to rely on hunches, incomplete data, and poor quality data. It also reduces the risk of delivering slow and inaccurate data. How does a data warehouse work? A data warehouse is like a central repository where the data comes from various sources. The data streams into the data warehouse from the transactional system and other relational databases. These data could either be structured, semi-structured or unstructured. These data get processed, altered, and consumed in a way that the end-user can gain access to the processed data in the data warehouse via business intelligence (BI) devices, SQL clients and spreadsheets. A data warehouse merges the data that comes from various sources into a complete database. The biggest advantage of this merged data is that the Company can analyze the data more holistically. It also makes the process of data mining smooth. Copyright © 2021 Kalkine Media Pty Ltd. Component of a data warehouse A data warehouse can be divided into four components. These are: Load Manager Load Manager, also known as the front component, does operations related to the mining and loading the data into a data warehouse. Load manager transforms the data for entering into Data warehouse. Warehouse Manager The warehouse manager manages the data within the data warehouse. It analyses data to confirm that the data in the data warehouse is steady. It also conducts operations such as the creation of indexes and views, generation of denormalization and aggregations, modifying and integrating the source data. Query Manager Query Manager is a backend component that does operations concerning the supervision of user queries. End-User access tools End-User access tools comprise data reporting, query tools, application development tools, EIS tools, data mining tools, and OLAP tools. Roles of Data Warehouse Tools and Utilities The tools and utilities in a data warehouse are used for: Data extraction: The data extraction process involves gathering data from heterogeneous sources. Data cleaning: Data cleaning consists of searching for any error in the data. Data transformation: Data transformation process involves changing the data into a data warehouse setup. Data loading: This process involves data sorting, recapping, consolidating, verifying integrity. Refreshing: This process requires revising data sources to the warehouse. Application of data warehouse Data warehouse plays a considerable role across multiple sectors. Some of the sectors it caters to are highlighted below. Aviation sector In the aviation sector, a data warehouse’s role can be seen in crew assignment, route profitability analysis, any promotional activity. Banking Industry In the banking sector, the focus is on risk management, policy reversal, customer data analysis, market trends, government rules and regulations and making financial decision. Through a data warehouse, banks can manage the resources available on the deck effectively. Banks also take the help of a data warehouse to do market research, analyze the products they offer, develop marketing programs. Retail industry Retailers act as an intermediary between the producers and the customers. Hence, these retailers use a data warehouse to maintain the records of both producers as well as the customer to maintain their existence in the market. Data warehouses help track inventory, advertisement promotions, tracking customer buying trends and many more. Healthcare industry In the healthcare industry, a data warehouse is used to predict the outcome of any test and taking relevant action accordingly. Data warehouses help them to generate patient treatment report, offer medical services, track the medicine inventory. Many patients visiting hospital have health insurance. Through a data warehouse, hospitals maintain the list of insurance providers. Investment and insurance sector In the insurance and investment sector, the role of data warehouse becomes important in tracking the data pattern, customer trend and market movement. Services sector In the services sector, a data warehouse is used for maintaining financial records, studying the revenue pattern, customer profiling, resource management and human resource management. Telecom The telecom sector uses a data warehouse in the promotion of its offerings, making sales decision, distribution decision, features to include in case they decide to launch a new product based on the customer requirement. Hospitality The hospitality sector involves hotel and restaurant services, car rental services etc. In this sector, the companies use a data warehouse to study the customer feedback on the various services offered and accordingly design and evaluate their advertising and promotion campaigns.
What is Keynesian economics? Keynesian economics is the economic theory that states demand is the driver of economic growth. This economic theory also states that fiscal aid helps recover an economy from a recession. Certain Keynesian economic principles stand in stark contrast to the Classical theory of economics. The theory was given by John Maynard Keynes in the 1930s and published in Keynes’ “General Theory of Employment, Interest and Money” in 1936. The Keynesian theory stated that government spending was an essential factor in increasing demand and maintaining full employment. What are the theories under Keynesian economics? Aggregate demand is affected by a host of factors: Aggregate demand is affected by various factors public and private factors. Monetary and fiscal policy both affect the level of aggregate demand in the economy. Any decision taken by the monetary authority or the government greatly affects the economy’s level of demand. Say’s Law proposes that supply generates its own demand. However, Keynesian economics suggests that demand is the driver of supply and overall growth in the economy. Sticky Wages: According to the theory of sticky wages, employers would prefer laying off workers over decreasing the existing workers’ wages. This happens because even in the absence of labour unions, workers would still resist wages cuts. Even if the employers were to reduce wages, it would lead to economic depression as demand would fall and people would become more cautious about their spending. Keynes advocated that the labour markers do not function independently from the savings market. Therefore, prices and wages respond slowly to changes in supply and demand. Liquidity Trap: Liquidity trap refers to an economic scenario where there is a contraction in the economy despite very low interest rates. This contrasts with the relationship between interest rates and investment given in Classical economics. How is Keynesian economics different from Classical economics? Classical economics states that the economy self-regulates in case of a disequilibrium. Any deviations from the market equilibrium would be adjusted on its own without any government regulation. However, Keynesian economics propagates that government intervention must maintain equilibrium or come out of an economic downturn. Keynesian economics highlights the importance of monetary and fiscal policy, while Classical economics does not mention any government intervention. Another crucial difference is that Classical economics suggests that governments should always incur less debt, while Keynesian economics advises that governments should practice deficit financing during a recession. Classical economics states that government spending can be harmful as it leads to crowding out of the private investment. However, it has been later established that this happens when the economy is not in a recession. Government borrowing competes with private investment leading to higher interest rates. Thus, Keynesian economics is of the view that deficit spending during a recession does not crowd out private investment. What are the policy measures advocated by Keynesian economics? According to Keynes, adopting a countercyclical approach can help economies stabilise. This means that governments must move in a direction opposite to the business cycles. The theory also states that governments should recover from economic downturns in the short run itself, instead of waiting for the economy to recover over time. Keynes wrote the famous line, “In the long run, we are all dead”. The short run knowledge of the economy would be far better than the long run prediction made by any government. Thus, it makes sense for governments to focus on short run policies and maintain short run equilibrium. Keynes’ multiplier effect states that government spending would increase the GDP by a greater amount than the increase in government spending. This multiplier effect established a reason for governments to go for fiscal support when the economy requires it. What have been the criticisms of Keynesian economics? The initial stages of Keynesian economics propagated that monetary policy was ineffective and did not play any role in boosting economic growth. However, the positive effects of monetary policy are well established and have been integrated into the new Keynesian framework. Another criticism is that the advantage of the fiscal benefits to the GDP cannot be measured. Thus, it becomes difficult to fine-tune the fiscal policy to suit the economic scenario better. Also, the Keynesian belief of increased spending leading to economic growth may lead to the government investing in projects with a vested interest. It could also lead to increased corruption in the economy. The theory of rational expectations suggests that people understand that tax cuts are only temporary. Thus, they prefer to save up the income left behind to pay for future increases in taxes. This is the Ricardian Equivalence theory. Thus, fiscal policy may be rendered ineffective due to this. Supply-side economics has also shown contrast to Keynesian beliefs. During the stagflation in the 1970s, the Phillips curve failed, bringing out the importance of supply-side economics.
Defining Macroeconomics Macroeconomics is a branch of Economics that evaluates the functioning of an economy as a whole. It studies the performance and behaviour of key economic indicators such as economy’s output of goods and service, exchange rates, the growth of output, the rate of unemployment and inflation, and balance of payments. Macroeconomics emphasises on the policies and economic behaviour that influence consumption and investment, exchange rates, trade balance, money flow, fiscal and monetary policy, interest rates, national debt, and factors influencing wages and prices. The scope of the subject goes beyond microeconomic topics like the behaviour of individuals, firms, markets, and households. History of Macroeconomics Macroeconomics originated with John Maynard Keynes post the great depression when the classical economist failed to explain the great economic fallout. Classical economics mostly comprised theories that studied pricing, distribution, and supply & demand. In 1936, John Maynard Keynes published – The General Theory of Employment, Interest and Money – effectively changing the perception of how macroeconomic problems should be addressed. The theories of Keynes shifted to focus on aggregate demand from the aggregate supply. Keynes said: ‘In the long run, we are all dead’. This statement was made to dismiss the notion that the economy would be in full employment in the long run. Later the theories developed by Keynes formed the basis for Keynesian economics, which gained popularity over other schools of thoughts including Neoclassical economics. Neoclassical economics emerged in the 1900s. It introduced imperfect competition models, which included marginal revenue curves, indifference curves. The theories in neoclassical economics argued about the efficient allocation of limited productive resource. Neoclassical economists explain consumption, production, pricing of goods and services through supply and demand. Some assumptions of this thought were an individual’s motive is to maximise utility as companies seek to maximise profits. Individuals make rational choices and act independently on perfect information. Over the years, many new schools of thought in Macroeconomics have found footing in the economics world. These include monetarist theories, new classical economics, new Keynesian economics, and supply-side macroeconomics. Difference between Macroeconomics and Microeconomics Major topics in Macroeconomics National income and output The estimation of national income includes the value of goods and services produced by a country in a financial year domestically and internationally. National income essentially means the value of total output generated by an economy in a year. National income can also be referred as national expenditure, national output or national dividend. Financial systems Understanding financial systems is an important concept in macroeconomics. A financial market is a market for financial securities and commodities, including bonds, shares, precious metal, agriculture goods. It is important for an economy to have markets where buyers and sellers can exchange goods. A financial market helps in the allocation of resources. Financial markets facilitate savings mobilisation, i.e. financial intermediaries channelise funds from savers to borrowers. Investment remains on the agenda for policymakers to promote growth, and financial markets facilitate funds by allowing individuals to invest in bonds and stocks, which are issued by institutions seeking funds for investments. Business cycles A Business cycle or an economic cycle refers to fluctuations in production, trade or economic activities. The upward and downward movement generally indicates the fluctuations in gross domestic product. A business cycle has four different phases: expansion, peak, contraction, and trough. An expansion in an economy is when economic growth, employment, prices are rising. The peak is achieved when the economy is producing maximum output, inflation is visible, and employment levels are running high. After a peak, the economy enters into contraction, which leads to a fall in employment, depleting economic activity, and stabilisation in prices. At trough, the economy is at the bottom of the cycle, and the next phase of expansion starts after the trough. Interest rates Macroeconomics also deals with interest rates in the economy. Interest rate policy of an economy is formulated and maintained by the central bank. A central bank manages the money supply in the economy. The intervention by the central bank to propel economic growth is called monetary policy. The monetary policy of an economy seeks to maintain employment and inflation in the economy. The motive of the monetary policy is to achieve full employment and maintain stable prices.
In 2013, the television host of CNBC's Mad Money, Mr Jim Cramer addressed few stocks as “totally dominant in their markets”. He was referring to tech titans and named them FAANG stocks (where the extra “A” was added 5 years later, in 2017). ALSO READ: Investment in Technology Stocks - A Beginner's Guide What Are FAANG Stocks? “FAANG” is perhaps one of the most popular abbreviation of the business world. The acronym illustrates stocks of the famous five US-based technology corporations- first being social media giant Facebook Inc., followed by software and hardware developer Apple Inc., the e-commerce magnate Amazon.com Inc., and the streaming service provider Netflix Inc., along with the last FAANG member, internet ace Alphabet Inc. (formerly recognised as Google). Originally, the acronym was FANG (with an “A” for Amazon.). In 2017, investors included Apple in the group, turning the acronym into FAANG. There is an interesting fact here- The original four FANG stocks were pure internet-based companies, but the later inclusion of Apple, that is a consumer hardware manufacturer, made FAANG stocks a broader group of giant technology stocks. Widely renowned among consumers, unique in their products and services, these stocks are of few of the largest companies in the world. They trade on the NASDAQ Exchange and are included in the S&P 500 Index, making up approximately 15 per cent of the index. Market experts believe that since these stocks have a large influence on the index, they tend to have a substantial effect on the performance of the S&P 500, in general. GOOD READ: FAANGs Defining Resilience Amid Market Downtrends Why Are FAANG Stocks Popular? FAANG companies exhibit several competitive advantages that make them attractive long-term investments. Consider this- Facebook rules social networking, Amazon is the one-stop destination to buy goods online in today’s digital world; Apple’s iPhones are one of the most used and well-renowned gadgets globally; Netflix is considered to be a leader of online streaming; whereas Google is the search engine used comprehensively almost every day, everywhere. These disruptive companies benefit from what is known as the network effect (indirect value goods and services gain as more people use them). Facebook’s products are valuable to new users because of its vast other active users. Amazon’s Prime service brings millions of shoppers to its marketplace every day, making its seller services more attractive to third-party merchants. Millions of Netflix viewers provide feedback for the kind of content the company should invest in. Lock-in effect of the Apple ecosystem creates substantial switching costs for iOS users. FAANG companies have intangible assets. This opens doors to the possibility of producing higher levels of profitability than rival companies. Consider this- Facebook, Amazon, and Google have troves of user data to pursue advertisements. Netflix offers original content, exclusive licenses that make its content library unique. Apple, on the other hand, is one of the few technology companies that makes hardware as well as software for its devices. FAANG players contribute to radical lifestyle change. One obvious reason for the popularity of these market darlings is that each FAANG company has been known to transform not just their own industries and the markets, but also how we all live in the current contemporary lifestyles. What is the significance of FAANG Constituents? As the heavy weighting of FAANG stocks in indexes like the S&P 500 gives them an outsized impact on the broader stock market, it seems worthwhile for investors to learn a bit about them. How is Investing Community Exposed to FAANG Stocks? FAANG stocks have historically outperformed the S&P 500 index. Over the last decade, this famous group accounted for a large portion of the market’s gains and American economy growth. This seems obvious given that FAANG companies have a hoard of competitive advantages making them seem like lucrative long-term investments. Offering perhaps the hottest technology trends, FAANG stocks demonstrate strong sales and earnings growth. Each FAANG company is listed on the NASDAQ, so purchasing their shares is a straightforward process for most investors. The easiest path could possibly be via online brokerage account with companies that offer this service. At this point, it should be noted that FAANG stocks aren’t cheap. For instance, for most of 2019, one share of Google sold for well over USD 1,000 and Amazon traded above USD 1,500. However, a wise investor knows that past results do not guarantee future success. Sinusoidal equity market trends deserve closer attention to a lot of other aspects before making any investment decision. Therefore, investing in FAANG stocks should be vigilantly based on one’s research of fundamental and technical aspects and risk appetite. GOOD READ: Investing Tips: 4 Reasons Big Techs can always stay your best pal Are There Any Risks Associated to Investing in FAANG Stocks? Market experts believe that there are no sure plays in the investing world. Simply put, there is a risk in every aspect of investing. Though favourable market conditions and investor enthusiasm for technology seems to be here for good, global uncertainties always should be considered. Overly bullish expectations coupled with certain political pressures and economic worries may hinder these big techs’ growth. Some experts opine that as these companies continue to mature amid mounting worldwide risks, it may get increasingly difficult for them to maintain their rapid growth pace. Legal Regulatory, market and operational risks of these FAANG players need to be considered before taking any exposure to FAANG stocks. Amazon and Google have often come under regulatory examination for potential anti-competitive business practices. Facebook and Google have faced criticism for lack of data privacy and security. On the other hand, Netflix has encountered new competitors in streaming video and as few reports suggest, a huge debt load linked with content production. Valuations of FAANG players should be well justified viz-a-viz earnings guidance of these players, before taking any investment exposure. Are There Global Peers to FAANG Stocks? Just like FAANG stocks, there are several groups of companies that can be looked upon as peers to the tech group. Let us cast an eye on similar groups- The Australian variant, WAAAX stocks comprises WiseTech Global Limited (ASX:WTC), Appen Limited (ASX:APX), Altium Limited (ASX:ALU), Afterpay Limited (ASX:APT) and Xero Limited (ASX:XRO). GAFAM is an acronym for the five most popular US. tech stocks: Google, Apple, Facebook, Amazon, and Microsoft. BATX is the abbreviation for the four popular technology stocks from China: Baidu, Alibaba, Tencent and Xiaomi. TAND, which comprise of Tesla, Activision, Nvidia and Disney are often looked up as future giants of tech. TANJ stocks in Hong Kong comprise Tencent, Alibaba, NetEase and JD.com. The Canadian big tech club DOCKS constitutes Descartes Systems, Open Text, Constellation Software, Kinaxis and Shopify. Do You Know These Interesting Facts About FAANG Stocks? The FAANG group has been a stock market superstar on both short and long-term basis. These stocks have more or less consistently delivered above-average sales and profit growth and maintained juicy margins. Let us look at a few interesting facts about these tech titans- In August 2018, FAANG stocks were responsible for nearly 40 per cent of the S&P 500’s gain from the lows reached in February 2018. Over the past decade, FAANG stocks have grown faster than the overall S&P 500 or the more technology-focused NASDAQ. There is no exchange traded fund dedicated solely to FAANG stocks. Since the market bottom in March of 2009, the worst performing FAANG stock, Apple, has returned over double that of the index average. Amid the COVID-19 market downturn FAANG companies were one of the biggest beneficiaries as the “stay-at-home” economy led to an acceleration in their trajectories as people’s lives shifted online. Rather than resting on their achievements and dominant market position, FAANG companies choose to use their cash on hand to make investments in cloud computing, AI and other technologies that they believe may lead to continued revenue growth.