Showing posts with label Business. Show all posts
Showing posts with label Business. Show all posts

15 April 2017

Stone Money of Micronesia–Rai stones

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A large, circular stone disks with a hole in its center, carved out of limestone is known as Rai Stones. Micronesia located in Pacific Ocean has a tiny island called Yap. People live here are called Yapese. In Yap Island there is no gold or silver, the Yapese found limestone deposits and carved the stones as money. The monetary system relies on an oral history of ownership. Because these stones are too large to move.There are also small stones found in centimeters and the large stones weights in tons. The largest rai stone is located on Rumung island, near Riy village. Smaller rai stones might have a diameter of 7–8 centimeters. Buying an item with one simply involves agreeing that the ownership has changed. As long as the transaction is recorded in the oral history, it will now be owned by the person it is passed on to and no physical movement of the stone is required.

Yapese_stone_money_2007
Yap stone money is such a unique archeological oddity that stone money pieces are on exhibit at the Smithsonian Institution and other museums in the U.S., Russia, Japan and Germany. Banks in Switzerland and the U.S. have acquired stone money pieces as well. The stone money is so fascinating that even Walt Disney Productions published a Donald Duck comic book on the subject entitled: "The Stone Money Mystery." Today, it is against the law to export Yap's traditional stone money. Unfortunately, almost half of all the stone money was lost or destroyed during World War II. The estimated number remaining is approximately 6,600 pieces.

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08 January 2017

Why there is a Demand for Money ?

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There are three motives underlying the demand for money i.e.

  1. Transaction demand for money
  2. Speculative demand for money
  3. Precautionary demand for money

Transaction demand : Transaction demand for money means that money is demanded to carry out certain transactions. It is likely to be positively related with income. This is simply because higher the income of an economic agent, higher is the expected volume of economic transaction. To facilitate higher volume of economic transactions, more money is required. However, the transaction demand for money is influenced by the prevailing rates of interest and the expected rate of return on alternative assets like shares. This is because money held in the form of idle cash provides liquidity and facilitates economic transactions but it does not give a positive return. Therefore, the economic agents will be facing a trade-off between the utility they derive from the liquidity of the available cash and the expected return they are forgoing on alternative assets. So, they will try to economize on their money holding, when the expected returns on alternative assets go up.

Speculative demand :  The demand for money arising out of speculative motive is called speculative demand for money. The speculative demand for money depends on people’s expectation of the future interest rate movements. John Maynard Keynes, in laying out speculative reasons for holding money, stressed the choice between money and bonds. If agents expect the future nominal interest rate (the return on bonds) to be lower than the current rate they will then reduce their holdings of money and increase their holdings of bonds. If the future interest rate does fall, then the price of bonds will increase and the agents will have realized a capital gain on the bonds they purchased. This means that the demand for money in any period will depend on both the current nominal interest rate and the expected future interest rate. The speculative demand for money is low when people expect interest rates to fall in future and vice versa.

Precautionary demand for money : The precautionary demand for money arises because of uncertainty regarding future income. For example, one does not know when one would fall sick or have accident or need money for some unforeseen requirement. The money demanded to cover these expenses is called precautionary demand.

LIST OF FREE AND PREMIUM WEBSITES FOR FINANCIAL AND ECONOMIC DATA

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25 December 2016

Why Macroeconomics is important for the Investors?

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For Investors or people in finance, understanding macroeconomics and its factor is very important because each of the major macroeconomic factors such as growth, inflation, business cycles etc.., have strong impact on the financial markets. They also have strong impact on the financial sector.

For example, when the economy gets into downturn, many firms find it difficult to repay their loans and as a result, the financial health of banks gets affected. Furthermore, changes in macroeconomic policies influence key variables of financial markets such as interest rates, liquidity and capital flows.

On the other hand, what is happening in the financial market can have a strong impact on the rest of the economy. Some examples of such transmission can be observed during the financial crises. In the United States, weaknesses in the financial sector stemming from a sudden and substantial decline in the prices of real estate, led to a downturn for the entire economy. In fact, almost all the countries of the world were affected because of this problem in the United States. In many countries across the world, this crisis hit not only the financial markets but also the entire economy, causing major recession and unemployment. The governments of these countries had to undertake serious coordinated policy measures to pull their economies out from recession.
As finance and macroeconomics are intimately interlinked, it becomes imperative for a finance professional to have at least a working knowledge of macroeconomics, so that they can better predict how firms and individuals behave in different situations, what risks and opportunities arise in what macroeconomic situation, how changes in policy changes can affect different macroeconomic variables and so on.

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19 November 2016

FINANCIAL STATEMENT ANALYSIS- Significance and Limitations

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Financial statements includes Trading, Profit and Loss Account and Balance Sheet. Expressing the financial items in these financial statements brings a meaningful information.

Financial statement – Definition:

A process of evaluating the relationship between the component parts of the financial statements to obtain a better understanding of a firm’s position and performance.

Financial statement analysis is an important part of the overall financial assessment. The different users look at the business concern  from their respective view point and are interested in knowing about its profitability and financial condition. A detailed cause and effect study of the profitability and financial condition is the overall objective of financial statement analysis.

Significance of Financial Statement Analysis:

1. Judging the earning capacity or profitability of a business concern.

2. Analysing the short term and long term solvency of the business concern.

3. Helps in making comparative studies between various firms.

4. Assists in preparing budgets.

Limitations of Financial Statement Analysis:

Analysis of financial statements helps to ascertain the strength and weakness of the business concern, but at the same time it suffers from the following limitations.

1. It analyses what has happened till date and does not reflect the future.

2. It ignores price level changes.

3. Financial analysis takes into consideration only monetary matters, qualitative aspects are ignored.

4. The conclusions of the analysis is based on the correctness of the financial statements.

5. Analysis is a means to an end and not the end itself.

6. As there is variation in accounting practices followed by different firms a valid comparison of their financial analysis is not possible.

There are different ways by which financial statement analysis can be undertaken and one important and usual technique used among them is Ratio Analysis.

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18 November 2016

Efficient Market Hypothesis and its types

Efficient Market Hypothesis and its types

EMH (Efficient Market Hypothesis) elaborates that all relevant information is fully and immediately reflected in market price of a security where an investor will receive stable rate of return. In other words, an investor should not expect to earn an abnormal return (above the market return) through either technical analysis or fundamental analysis.
The efficient market hypothesis (EMH) implies that if new information is revealed about a firm it will be incorporated into the share price rapidly and rationally, with respect to the direction of the share price movement and the size of that movement. In an efficient market no trader will be presented with an opportunity for making a return on a share (or other security) that is greater than a fair return for the riskiness associated with that share (or any other security). The absence of abnormal profit possibilities arises because current and past information is immediately reflected in current prices. It is only new information, which causes prices to change.

Note:  Stock market efficiency does not mean that investors have perfect powers of prediction; all it means is that the current level is an unbiased estimate of its true economic value based on the information revealed. In the major stock markets of the world prices are set by forces of supply and demand. There are hundreds of analysts and thousands of traders, each receiving new information on a company through electronic and paper media. The moment an unexpected, positive piece of information leaks out investors will act and prices will rise rapidly to a level that gives no opportunity to make further profit.

Types of Efficiency


There are Three types of Efficiency such as Operational efficiency, allocation efficiency and Pricing Efficiency. Do not confuse these with the levels of market efficiency such as Weak form, Semi-strong form and Strong form of market efficiencies. Lets discuss the types here

  1. Operational efficiency – refers to the cost to buyers and sellers of transactions in securities on the exchange. It is desirable that the market carries out its operations at as low a cost as possible. This may be promoted by creating as much competition between market makers and brokers as possible so that they earn only normal profits and not excessively high profits. It may also be enhanced by competition between exchanges for secondary-market transactions.
  2. Allocation efficiency – Our society has a scarcity of resources (that is, they are limited) and it is important that we find mechanisms, to allocate those resources to where they can be most productive. Those industrial and commercial firms with the greatest potential to use investment funds effectively need a method to channel funds their way. Stock markets help in the process of allocating society’s resources between competing real investments. For example, an efficient market provides vast funds for fast-growth sectors such as Information Technology, Automobiles and Banking industries (through IPO, Right issues and etc..,) whereas allocates only small amounts for slow-growth industries.
  3. Pricing efficiency – In a pricing efficient market the investor can expect to earn merely a risk-adjusted return from an investment as prices move instantaneously and in an unbiased manner to any news. It is pricing efficiency that is the focus of this section and the term efficient market hypothesis applies to this form of efficiency only.

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Measurement of Risk in Stocks

Measurement of Risk
The uncertainty of a future outcome is the simplest and most accurate way to describe risk. The anticipated return from an investment is known as the expected return. Whereas, the actual return over some past period is known as the realized return. The simple fact that dominates investing is that the realized return on an asset with any risk attached to it may be different from what was expected.

Volatility

Volatility may be described as the range of price movement or price fluctuation from the expected level of return. The more a stock  goes up and down in price, the more volatile that stock is. Because wide price swings create more uncertainty of an eventual outcome, increased volatility can be equated with increased risk. Being able to measure and determine the past volatility of a security is important in that it provides some insight into the riskiness of that security as an investment.

Standard Deviation

Investors and analysts need to be familiar with the study of probability distributions. standard deviation is used as an indicator of market volatility . Since the return is not known, it must be estimated. Standard deviation is high for more volatile securities.

Beta

Beta is a measure of the systematic risk that cannot be avoided through diversification. It is important to note that beta measures a security’s volatility, or fluctuations in price, relative to a benchmark, the market portfolio of all stocks. Securities with different slopes have different sensitivities to the returns of the market index. If the slope of this relationship for a particular security is a 45-degree angle, the beta is 1.0. This means that for every one percent change in the market’s return, on average this security’s returns change 1 percent. The market portfolio has a beta of 1.0. A security with a beta of 1.5, indicates that, on average, security returns are 1.5 times as volatile as market returns, both up and down. This would be considered an aggressive security because when the overall market return rises or falls 10 percent, this security, on average, would rise or fall 15 percent. Stocks having a beta of less than 1.0 would be considered more conservative investments than the overall market. Beta is useful for comparing the relative systematic risk of different stocks and, in practice, is used by investors to judge a stock’s riskiness. Stocks can be ranked by their betas’. Because the variance of the market is a constant across all securities for a particular period, ranking stocks by beta is the same as ranking them by their absolute systematic risk. Stocks with high betas are said to be high-risk securities.
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17 November 2016

Investment Risk and its types

Investment Risk and its types - Sulthan Academy

Risk can be defined as the probability of failing to receive expected return. Every investment involves uncertainties that make returns of investment risk prone. These uncertainties could be due to the political, economic and industry factors.

Types of Investment Risk

1. Systematic vs Unsystematic Risk

Risk could be systematic and unsystematic depends upon the source of it. Systematic risk is risk involved for whole market, while unsystematic risk is specific to an industry or the company individually. The first three risk factors discussed below are systematic in nature and the rest are unsystematic. Political risk could affects the market as a whole or just a particular industry. Therefore, we must consider these two categories to understand the total risk. The following discussion introduces these terms. Dividing total risk into its two components, a general (market) component and a specific (issuer) component, we have systematic risk and non-systematic risk, which are additive:

Total risk = General risk + Specific risk

             = Market risk + Issuer risk

                                   = Systematic risk + Non-systematic risk

Systematic Risk: An investor can construct a diversified portfolio and eliminate part of the total risk, the diversifiable or non-market part. What is left is the non- diversifiable portion or the market risk. Variability in a security’s total returns that is directly associated with overall movements in the general market or economy is called systematic (market) risk. Practically, all securities have some systematic risk, it may be whether bonds or stocks, because systematic risk directly encompasses interest rate, market, and inflation risks. The investor cannot escape this part of the risk because no matter how well he or she diversifies, the risk of the overall market cannot be avoided. For instance: If the stock market declines sharply, most stocks will be affected; if it rises strongly, most stocks will appreciate in value no matter about their performance for past few weeks. Clearly, market risk is critical to all investors.

Non- systematic Risk: The variability in a security’s total returns not related to overall market variability is called the non- systematic (non-market or unsystematic) risk. This risk is unique to a particular security and is associated with such factors as business and financial risk as well as liquidity risk. Although all securities tend to have some non-systematic risk, it is generally connected with common stocks.

“Systematic (Market) Risk is attributable to broad macro factors affecting all securities. Non-systematic (Non-Market) Risk is attributable to factors unique to a security.”

Read more: HOW TO ANALYSE A COMPANY BEFORE INVESTING–SYSTEMATIC APPROACH

Types systematic and unsystematic risk

1. Market Risk

The variation in a security’s returns resulting from fluctuations in the aggregate market is known as market risk. All securities are exposed to market risk including recessions, wars, structural changes in the economy, tax law changes, even changes in consumer preferences. Market risk is sometimes used synonymously with systematic risk.

2. Interest Rate Risk

The variability in a security’s return resulting from changes in the level of interest rates is referred to as interest rate risk. Such changes generally affect securities inversely; that is, other things being equal, security prices move inversely to interest rates. The reason for this movement is tied up with the valuation of securities. Interest rate risk affects bonds more directly than common stocks and is a major risk faced by all bondholders. As interest rates change, bond prices change in the opposite direction.

3. Purchasing Power Risk

A factor affecting all securities is purchasing power risk also known as inflation risk. This is the chance that the purchasing power of invested dollars will decline. With uncertain inflation, the real (inflation-adjusted) return involves risk even if the nominal return is safe (e.g., a Treasury bond). This risk is related to interest rate risk, since interest rates generally rise as inflation increases, because lenders demand additional inflation premiums to compensate for the loss of purchasing power.

4. Regulation Risk

Some investments can be relatively attractive to other investments because of certain regulations or tax laws that give them an advantage of some kind. Municipal bonds, for example pay interest that is exempt from local, state and federal taxation. As a result of that special tax exemption, municipals can price bonds to yield a lower interest rate since the net after-tax yield may still make them attractive to investors. The risk of a regulatory change that could adversely affect the stature of an investment is a real danger.

5. Business Risk

The risk of doing business in a particular industry or environment is called business risk. For example, as one of the largest steel producers, U.S. Steel faces unique problems. Similarly, General Motors faces unique problems as a result of such developments as the global oil situation and Japanese imports.

6. Reinvestment Risk

The YTM (Yield to maturity) calculation assumes that the investor reinvests all coupons received from a bond at a rate equal to the computed YTM on that bond, thereby earning interest on interest over the life of the bond at the computed YTM rate. In effect, this calculation assumes that the reinvestment rate is the yield to maturity. If the investor spends the coupons, or reinvests them at a rate different from the assumed reinvestment rate of 10 percent, the realized yield that will actually be earned at the termination of the investment in the bond will differ from the promised YTM. And, in fact, coupons almost always will be reinvested at rates higher or lower than the computed YTM, resulting in a realized yield that differs from the promised yield. This gives rise to reinvestment rate risk. This interest-on-interest concept significantly affects the potential total dollar return. The exact impact is a function of coupon and time to maturity, with reinvestment becoming more important as either coupon or time to maturity, or both, rises. Specifically:

1. Holding everything else constant, the longer the maturity of a bond, the greater the reinvestment risk.

2. Holding everything else constant, the higher the coupon rate, the greater the dependence of the total dollar return from the bond on the reinvestment of the coupon payments. Let’s look at realized yields under different assumed reinvestment rates for a 10 percent non-callable 20-year bond purchased at face value. If the reinvestment rate exactly equals the YTM of 10 percent, the investor would realize a 10 percent compound return when the bond is held to maturity, with $4,040 of the total dollar return from the bond attributable to interest on interest. At a 12 percent reinvestment rate, the investor would realize a 11.14 percent compound return, with almost 75 percent of the total return coming from interest on interest ($5,738/ $7,738). With no reinvestment of coupons (spending them as received), the investor would achieve only a 5.57 percent return. In all cases, the bond is held to maturity. Clearly, the reinvestment portion of the YTM concept is critical. In fact, for long-term bonds the interest-on-interest component of the total realized yield may account for more than three-fourths of the bond’s total dollar return.

Read more: What is Inflation and Deflation?

7. Bull-Bear Market Risk

This risk arises from the variability in the market returns resulting from alternating bull and bear market forces. When security index rises fairly consistently from a low point, called a trough, over a period of time, this upward trend is called a bull market. The bull market ends when the market index reaches a peak and starts a downward trend. The period during which the market declines to the next trough is called a bear market.

8. Management Risk

Management, all said and done, is made of people who are mortal, fallible and capable of making a mistake or a poor decision. Errors made the management can harm those who invested in their firms. Forecasting errors is difficult work and may not be the effort and, as a result, imparts a needlessly sceptical outlook. An agent- principal principle relationship exists when the shareholder owners delegate the day to day decision making authority to managers who are hired employees rather than substantial owners. This theory suggests that owners will work harder to maximize the value of the company than employees will. Various researches in the field indicate that investors can reduce their losses to difficult-to-analyse management errors by buying shares in those corporations in which the executives have significant equity investments.

9. Default Risk

Is that portion of an investment’s total risk that results from changes in the financial integrity of the investment? For example, when a company that issues securities moves either further away from bankruptcy or closer to it, these changes in the firm’s financial integrity will be reflected in the market price of its securities. The variability of return that investors experience as a result of changes in the creditworthiness of a firm in which they invested is their default risk. Almost all the losses suffered by investors as a result of default risk are not the result of actual defaults and / or bankruptcies. Investor losses from default risk usually result from security prices falling as the financial integrity of a corporation weakness-market prices of the troubled firm’s securities will already have declined to near zero. However, this is not always the case – ‘creative’ accounting practices in firms like ENRON, WorldCom, Arthur Anderson and Computer Associates may maintain quoted prices of stock even as the company’s net worth gets completely eroded. Thus, the bankruptcy losses would be only a small part of the total losses resulting from the process of financial deterioration.

10. International Risk

This include both Country risk and Exchange Rate risk. All investors who invest internationally in today’s increasingly global investment arena face the prospect of uncertainty in the returns after they convert the foreign gains back to their own currency. Unlike the past when most U.S. investors ignored international investing alternatives, investors today must recognize and understand exchange rate risk, which can be defined as the variability in returns on securities caused by currency fluctuations. Exchange rate risk is sometimes called currency risk. For example, a U.S. investor who buys a German stock denominated in marks must ultimately convert the returns from this stock back to dollars. If the exchange rate has moved against the investor, losses from these exchange rate movements can partially or totally negate the original return earned. Obviously, U.S. investors who invest only in U.S. stocks on U.S. markets do not face this risk, but in today’s global environment where investors increasingly consider alternatives from other countries, this factor has become important. Currency risk affects international mutual funds, global mutual funds, closed-end single country funds, American Depository Receipts, foreign stocks, and foreign bonds. Country Risk Country risk, also referred to as political risk, is an important risk for investors today. With more investors investing internationally, both directly and indirectly, the political, and therefore economic, stability and viability of a country’s economy need to be considered. The United States has the lowest country risk, and other countries can be judged on a relative basis using the United States as a benchmark. Examples of countries that needed careful monitoring in the 1990s because of country risk included the former Soviet Union and Yugoslavia, China, Hong Kong, and South Africa.

Liquidity Risk

This Risk associated with the particular secondary market in which a security trades . An investment that can be bought or sold quickly and without significant price concession is considered liquid. The more uncertainty about the time element and the price concession, the greater the liquidity risk. A Treasury bill has little or no liquidity risk, whereas a small OTC stock may have substantial liquidity risk. It is that portion of an asset’s total variability of return which results from price discounts given or sales concessions paid in order to sell the asset without delay. Perfectly liquid assets are highly marketable and suffer no liquidation costs. Illiquid assets are not readily marketable and suffer liquidation costs. Illiquid assets are not readily marketable – either price discounts must be given or sales commissions must be paid, or both the costs must be incurred by the seller, in order to find a new investor for an illiquid asset. The more illiquid the asset is, the larger the price discounts or the commissions that must be paid to dispose of the assets.

Political Risk

It arises from the exploitation of a politically weak group for the benefit of a politically strong group, with the efforts of various groups to improve their relative positions increasing the variability of return from the affected assets. Regardless of whether the changes that cause political risk are sought by political or by economic interests, the resulting variability of return is called political risk if it is accomplished through legislative judicial or administrative branches of the government.

Domestic political risk arises from changes in environmental regulations, zoning requirements, fees, licenses, and most frequently taxes. Taxes could be both direct and indirect. Some types of securities and certain categories of investors enjoy a privileged tax status. International political risk takes the form of expropriation of non residents assets, foreign exchange controls that won’t let foreign investors withdraw their funds, disadvantageous tax and tariff treatments, requirements that non residents investors give partial ownership to local residents, and un-reimbursed destruction of foreign owned assets by hostile residents of the foreign country.

Industry Risk

An industry may be viewed as group of companies that compete with each other to market a homogeneous product. Industry risk is that portion of an investment’s total variability of return caused by events that affect the products and firms that make up an industry. For example, commodity prices going up or down will effect all the commodity producers, though not equally. The stage of the industry’s life cycle, international tariffs and/or quotas on the products produced by an industry, product/industry related taxes (e.g. cigarettes), industry wide labour union problems, environmental restrictions, raw material availability, and similar factors interact with and affect all the firms in an industry simultaneously. As a result of these common features, the prices of the securities issued by the competing firms tend to rise and fall together. These risk factors do not make up an exhaustive list but are only representative of the major classifications involved. All the uncertainties taken together make up the total risk, or the total variability of return.

So, these are risks associated in investments of any kind. Investing the amount and monitoring for these risk make your investment safe and secure. Subscribe Sulthan Academy for updates. Share with your friends. Leave your queries in comment section.

Read more: HOW TO ANALYSE A COMPANY BEFORE INVESTING–SYSTEMATIC APPROACH

28 October 2016

Effective Annual Rate– Explained and usage

10002 EAR
Effective annual rate is an annual rate of interest when compounding occurs more than once in a year. This can be used to compare the annual effective interest among the loans with different nominal interest rates and/or different compounding intervals such as daily, weekly, monthly, quarterly or half yearly. Effective annual rate (EAR), is also called the effective annual interest rate or the annual equivalent rate (AER).

Use of EAR:

Lets say we need to compare loans offered by 2 different Banks.  Bank A, offers you 7.18% interest compounded weekly while Bank B, offers you at a higher rate of 7.24%  but compounds interest quarterly.  Without considering any other fees at this time, Lets find out which is better option.
Bank A - at 7.18% compounded 52 times per year the effective annual rate calculated is 0.0724387 i.e. 7.24%
Bank B - At 7.24% compounded 4 times per year the effective annual rate calculated is 0.074389 i.e.7.24%
So based on nominal interest rate and the compounding per year, the effective rate is essentially the same for both loans. 

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17 September 2016

Business Analytical Methods and Models

Business analytics involves something from simple reports to the most advanced optimization techniques, such as methods for finding the best course of action. This is generally comprised in three broad categories : descriptive analytics, predictive analytics, and prescriptive analytics.
Image by Unsplash via Pixabay

Descriptive Analytics

Descriptive analytics encompasses the set of techniques that describes what has happened in the past. Examples are data queries, reports, descriptive statistics, data visualization including data dashboards, some data-mining techniques, and basic what-if spreadsheet models.
A data query is a request for information with certain characteristics from a database. For example, a query to a Airline’s database might be for all records of flights to a particular designation during the month of March. This query provides descriptive information about these flights: the number of Passengers, the date each trip, and so on. A report summarizing relevant historical information for management might be conveyed by the use of descriptive statistics such as means, measures of variation, etc. and data visualization tools such as tables, charts, and maps. These simple descriptive statistics and data visualization techniques can be used to find patterns or relationships in a large database.
Data dashboards are collections of tables, charts, maps, and summary statistics that are updated as new data become available. Dashboards are used to help management monitor specific aspects of the company’s performance related to their decision-making responsibilities. For corporate-level managers, daily data dashboards might summarize sales by region, current inventory levels, and other company-wide metrics; front-line managers may view dashboards that contain metrics related to staffing levels, local inventory levels, and short-term sales forecasts.

Predictive Analytics

Predictive analytics consists of techniques that use models constructed from past data to predict the future or ascertain the impact of one variable on another. For example, past data on product sales may be used to construct a mathematical model to predict future sales, which can factor in the product’s growth trajectory and seasonality based on past patterns. A packaged food manufacturer may use point-of-sale scanner data from retail outlets to help in estimating the lift in unit sales due to coupons or sales events. Survey data and past purchase behavior may be used to help predict the market share of a new product. All of these are applications of predictive analytics.
Linear regression, time series analysis, some data-mining techniques, and simulation, often referred to as risk analysis, all fall under the banner of predictive analytics. We discuss all of these techniques in greater detail later in this text. Data mining, techniques used to find patterns or relationships among elements of the data in a large database, is often used in predictive analytics. For example, a large grocery store chain might be interested in developing a new targeted marketing campaign that offers a discount coupon on potato chips. By studying historical point-of-sale data, the store may be able to use data mining to predict which customers are the most likely to respond to an offer on discounted chips by purchasing higher-margin items such as beer or soft drinks in addition to the chips, thus increasing the store’s overall revenue. Simulation involves the use of probability and statistics to construct a computer model to study the impact of uncertainty on a decision. For example, banks often use simulation to model investment and default risk in order to stress test financial models. Simulation is also often used in the pharmaceutical industry to assess the risk of introducing a new drug. 

Prescriptive Analytics

Prescriptive analytics differ from descriptive or predictive analytics in that prescriptive analytics indicate a best course of action to take; that is, the output of a prescriptive model is a best decision. The airline industry’s use of revenue management is an example of a prescriptive analytics. Airlines use past purchasing data as inputs into a model that recommends the best pricing strategy across all flights for maximizing revenue. Other examples of prescriptive analytics are portfolio models in finance, supply network design models in operations, and price markdown models in retailing. 
Another type of modeling in the prescriptive analytics category is simulation optimization, which combines the use of probability and statistics to model uncertainty with optimization techniques to find good decisions in highly complex and highly uncertain settings. Finally, the techniques of decision analysis can be used to develop an optimal strategy when a decision maker is faced with several decision alternatives and an uncertain set of future events. Decision analysis also employs utility theory, which assigns values to outcomes based on the decision maker’s attitude toward risk, loss, and other factors.

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