This document provides an overview of the history and development of modern finance. It discusses key figures and theories that shaped the field, including:
- Markowitz's mean-variance model and the development of portfolio theory in the 1950s.
- Sharpe's capital asset pricing model which built on Markowitz's work and transformed it into an economics model.
- The Black-Scholes-Merton option pricing formula from the 1970s which allowed finance to be built on observable market values.
- The ongoing debate between the business school approach focused on microeconomics and firm management versus the economics department approach focused on macroeconomics and market equilibrium.
3. What is Finance?
We can define a moderd finance group as managing a firm’s long‐term and day‐to‐day monetary
operations and strategy. Its size varies based upon total employee head count, total revenue,
industry, and overall business strategy.
Purpose; The finance „group“ provides sound fiscal process, policies, planning and strategy. The
finance group is responsible for incoming and outgoing payments, budgeting, planning and
analysis, asset management (fixed & liquid), tax management, general accounting, and treasury
management. Some finance groups may also be responsible for payrole (HR Function), internal
audit and compliance, risk management and travel/expense administration, in many cases these
functions are outsourced (internal & external).
History; Finance in its modern form really dates from the 1950s. The hugh body of research in
finance over the last sixthy years falls naturally into two main streams. And no, we don’t mean
here „asset pricing“ and „corperate finance“ moreover we can call them business school
approach to finance and the economics department approach. This is purely a „notional“
statement, not physical – based on faculties field rather than its location.
Financial Analysis by Michael R. Büchler
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4. Science Arises from the Discovery of Identity amid Diversity
William Stanley Jevons (1 September, 1835 – 13 August, 1882)
British economist and logician
A General Mathematical Theory of Political Economy (1862)
Pure Logic; or, the Logic of Quality apart from Quantity (1864)
Elementary Lessons on Logic (1870)
The Match Tax: A Problem in Finance (1871)
A Primer on Political Economy (1878)
„It seems perfectly clear that Economy, if it is to be a science at all, must be a mathematical science.
There exists much prejudice against attempts to introduce the methods and language of mathematics
into any branch of the moral sciences. Most persons appear to hold that the physical sciences form
the proper sphere of mathematical method, and that the moral sciences demand some other
method—I know not what.“
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5. Classical Dictum of Economics
Alfred Marshall (26 July, 1842 – 13 July 1924)
British Economist
The Pure Theory of Foreign Trade: The Pure Theory of Domestic Values (1879)
Principles of Economics (1890)
To someone trained in the classical traditions of economics by the great Alfred Marshall stands out: „It is not
the business of the economist to tell the brewer how to make beer.“
The characteristic economics department approach thus is not micro, but macro normative. The models
assume a world of micro optimizers, and deduce from that how market prices, which the micro optimizers take
as given, actually evolve.
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6. Unreliable Estimates Trough Computional Algorithm
Merton H. Miller (May 16, 1923 – June 3, 2000)
American economist
Co‐author of the Modigliani–Miller theorem (1958)
The Theory of Finance (1972)
„For the variances and covariance's, at least, past data probably could provide at least a reasonable starting point. The precision of
such estimates can always be enhanced by cutting the time interval into smaller and smaller intervals. But what of the means?
Simply averaging the returns of the last few years, along the lines of the examples in the Markowitz formula won’t yield reliable
estimates of return expected in the future. And running those unreliable estimates of the means through the computational
algorithm can lead weird, corner portfolio’s and hardly presume benefits of diversification.“
„For the micro normative wing was concerned with finding the „cost capital,“ in the sense of the optimal cut‐off rate for
investment when the firm can finance the project either with debt or equity or some combination of both. The macro normative
or economies wing sought to express the aggregate demand for investment by corporations as function of the cost of capital that
firms are actually using as their optimal cut‐offs, rather than just the rate of interest on long‐term government bonds.“
„The Modigliani‐Miller (M&M) proposition, in short, like the efficient markets hypothesis, are about equilibrium in the capital
markets – what equilibrium looks like, and this is way neither the efficient markets hypothesis nor the M&M proposition have
ever set well with those in the profession who see finance as essentially a branch of management science.“
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7. Markovitz Mean‐Variance Model
The business school or micro nomative stream in finance;
Harry M. Markovitz (August 24, 1927‐ )
American economist
Harry Markowitz Model (1952)
"Portfolio Selection". The Journal of Finance (March 1952)
Markowitz makes the powerful algebra of mathematical statistics available for the study of portfolio selection;
„The immediate contribution of algebra to the famous formula for the variance of sum of random variables; that is, the weighted
sum of the variance plus twice the weighted sum of the covariances.“
This is a common formula used by finance during the last fifty years and that formula shows among other things, that for the
individual investor, the relevant unit of analysis must always be the whole portfolio, not the individual share. The risk of individual
share cannot be defined apart from its relation to the whole portfolio and in particular, its covariances with the other
components.
Covariances, and not mere numbers of securities held, govern the risk‐reducing benefits of diversification!
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8. Capital Asset Pricing Model
Transforming the Markowitz business model into an economics department model
William F. Sharpe (June 16, 1934 ‐ )
American Economist
Portfolio Theory and Capital Markets (1970 and 2000)
Asset Allocation Tools (1987)
Fundamentals of Investments (2000)
Investments (1999)
„The CAPM implies that the distribution of expected rates of returns across all risky assets is a liniear function of a single variable,
namely, each asset’s sensitivity to or covariance with the market portfolio, the famous beta, which becomes the natural measure
of a security risk. The aim of sience is to explain a lot with little, and few models in finance or economics do so more than CAPM“
„The CAPM not only offers new and powerful theoretical insights into the nature of risks, buts also lends itself admirably to the
kind of in‐depth empirical investigation so neccessary for development of new field like finance.“
„Besides the market factor, two other pervasive risk factors have by now been identified for common stocks. One is a size effect;
small firms seem to earn higher returns than large firms, on average, even after controlling for beta or market sensitivity. The
other is a factor, still not fully understood, but that seems reasonably well captured by the ratio of a firm’s accounting book value
its market value. Firms with high book‐to‐market ratios after controlling for size and for the market factor.“
„That a three‐factor model shown to describe data somewhat better than a single factor CAPM should not detract in any way!“
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9. Fischer Black
Myron S. Scholes (July 1, 1941 ‐ )
Canadian‐born American financial economist
Robert C. Merton (31 July, 1944 ‐ )
American economist
Fischer‐Black Formula 1997
(Black–Scholes model)
Fischer‐Black Formula 1997
(Black‐Scholes‐Merton formula)
„Options mean, among other things that for the first time in its close sixty‐year history the field of finance can
be build, or rebuild, on the basis of „observable“ magnitudes.“
„The Fischer Black reminded us, estimating variances is orders of magnitude easier than estimating the means
or expected returns that are central to the models of Markowitz, Sharpe or Modigliani‐Miller. The precision of
an estimate variance can be improved, as noted earlier, by cutting time into smaller and smaller units – from
week days to days to hours minutes. For means, however, the precision of estimate can be enhanced only by
lengthening the sample period, given rise to the well‐know dilemma that by the time a high degree of precision
in estimating the mean from past data has been achieved, the mean itself has almost surely shifted.“
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17. Introduction to Financial Accounting
•
Financial accountancy (or financial accounting) is the field of accountancy
concerned with the preparation of financial statements for decision makers, such
as stockholders, suppliers, banks, employees, government agencies, owners and
other stakeholders.
•
Financial capital maintenance can be measured in either nominal monetary units
or units of constant purchasing power. The central need for financial accounting is
to reduce the various principal‐agent problems, by measuring and monitoring the
agents’ performance and thereafter reporting the results to interested users.
•
In short, financial accounting is the process of summarising financial data, which is
taken from an organisation’s accounting records and publishing it in the form of
annual or quarterly reports, for the benefit of people outside the organisation.
Financial accountancy is governed not only by local standards but also by
international accounting standard.
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18. Principles of Financial Accounting
Financial accounting is based on several principles known as Generally Accepted Accounting Principles
(GAAP), International Financial Reporting Standards (IFRS) and Accounting Regulatory Committee
ARC, International Accounting Standards/IAS
These include the business entity principle, the objectivity principle, the cost principle and the going‐
concern principle.
Business entity principle: Every business requires to be accounted for separately by the proprietor.
Personal and business‐related dealings should not be mixed.
Objectivity principle: The information contained in financial statements should be
treated objectively and not shadowed by personal opinion.
Cost principle: The information contained in financial statements requires it to be based on costs
incurred in business transactions.
Going‐concern principle: The business will continue operating and will not close but will realise assets
and discharge liabilities in the normal course of operations
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19. Benefits of Financial Accounting
•
Meeting legal requirements: accounting helps to comply with the various legal requirements. It is mandatory for
joint stock companies to prepare and present their accounts in a prescribed form. Various returns such as income
tax, sales tax are prepared with the help of the financial accounts.
•
Protecting and safeguarding business assets: Records serve a dual purpose as evidence in the event of any
dispute regarding ownership title of any property or assets of the business. It also helps prevent unwarranted and
unjustified use. This function is of paramount importance, for it makes the best use of available resources.
•
Facilitates rational decision‐making: Accounting is the key to success for any decision making process. Managerial
decisions based on facts and figures take the organisation to heights of success. An effective price policy, satisfied
wage structure, collective bargaining decisions, competing with rivals, advertisement and sales promotion policy
etc.. all owe it to well set accounting structure. Accounting provides the necessary database on which a range of
alternatives can be considered to make managerial decision‐making process a rational one.
•
Communicating and reporting: The individual events and transactions recorded and processed are given a
concrete form to convey information to others. This economic information derived from financial statements and
various reports is intended to be used by different groups who are directly or indirectly involved or associated with
the business enterprise.
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20. Limitations of Financial Accounting
One of the major limitations of financial accounting is that it does not take into account the non monetary facts of the
business like the competition in the market, forex trades etc. Some of following limitations of financial accounting have
led to the development of active based costing accounting:
•
Unclear operating efficiency: financial accounting will not give you a clear picture of operating efficiency when
prices are rising or decreasing because of inflation or trade depression.
•
Shortcoming not spotted out by collective results: financial accounting reflects the net result only. It does not
indicate profit or loss of each department, job, process or contract. It does not disclose the exact cause of
inefficiency i.e. it does not tell where the oppurtunity is because it discloses the net profit of all the business
activities. Furthermore, loss or less profit disclosed by its profit and loss accounts is a signal of imbalanced
businesses, the exact cause of such performance is not identified.
•
Price fixation: financial accounting, costs are not available as an aid in determining prices of the products,
services, production order and lines of products.
•
Provides only historical data: financial accounting is mainly historical and counts cost already incurred. As
financial data is summarised at the end of the accounting period it does not provide day‐to‐day cost information
for making effective desions on real time approach and will not help to indicate future evaluation.
•
Limted analysis on cost of losses: It fails to provide complete analysis of losses due to defective material, idle
time, idle plant and equipment. In other words, no distinction is made between avoidable and unavoidable
wastage.
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21. International Accounting Standards
•
Accurate and reliable financial information is the lifeline of commerce and investing. Presently,
there are two sets of accounting standards that are accepted for international use namely, the U.S.,
Generally Accepted Accounting Principles (GAAP) and the International Financial Reporting
Standards (IFRS) issued by the London‐based International Accounting Standards Board (IASB).
Generally, accepted accounting principles (GAAP) are diverse in nature but based on a few basic
principles as advocated by all GAAP rules. These principles include consistency, relevance, reliability
and comparability.
•
Generally Accepted Accounting Principles (GAAP) ensures that all companies are on a level playing
field and that the information they present is consistent, relevant, reliable and comparable.
Although U.S. GAAP is only applicable in the U.S., other countries have their own adaptations that
are similar in purpose, although not always in design.
•
IFRS are International Financial Reporting Standards, which are issued by the International
Accounting Standards Board (IASB), a committee compromising of 14 members, from nine different
countries, which work together to develop global accounting standards. The aim of this committee
is to build universal standards that are translucent, enforceable, logical, and of high quality. Nearly
100 countries make use of IFRS. These countries include the European Union, Australia and South
Africa. While some countries require all companies to stick to IFRS, others merely try to synchronize
their own country’s standards to be similar.
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22. Active Based Costing
Do we count all our activities during our business transactions?
In contrast to traditional cost accounting systems, ABC systems
first accumulate overhead cost for each organizational activity,
and then assigns the cost of the activities to the products,
services or customer causing that activity.
ABC’s active analysis are most critical for identifying appropriate
process output measures of activities and resources, their effects
on the costs of making a product or providing a service.
Traditional cost accounting systems often allocate costs based on
single‐volume measures. Using single‐volume measures seldom
meets the cause and effect criterion desired in cost allocations.
ABC system have the flexibility to provide special reports
facilitating management decision making towards costs of
activities undertaken to design, produce, sell and deliver a
company’s products or services.
Activity‐based costing records the costs that traditional cost accounting does not do!
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29. Optimum Quality Level
The zone of perfectionism is what most troubles proponents of zero defects, for here Juran suggests relaxing
prevention efforts and allowing increased defect rates. Furthermore, he identifies the boundary of the zone of
perfectionism as lying typically , at the quality level where failure costs amount to 40 % of the total cost. Translating
the rules of thumb, this translates into a defect level only half that which exists in the zone of improvement.
•
The is no mathematical requirement that the
optimum occurs at q < 100%. There may be no
optimum in the range of q = 0 to 100%. There
might be a minimum rather than an optimum,
and it could very well be at q = 100%.
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32. Assemble Problem Solving
Continiual problem solving shows the PDCA cycle as
diffrent points along the clock face. This formulation
emphasized that a quality program is not something an
organization does for a year or two to correct some
problems and then moves on to something else. Rather,
the QIP emodied a continual problem‐solving
commitment in which the half‐life method served as the
speedometer for measuring how fast the organization was
traveling around the PDCA cycle.
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38. Economic Value Added/Shareholder Value
Integrating Shareholder Value with the Balance Scorecard
• As the BSC emerged in the 1990’s just as two other ideas – Economic Value Added (EVA) and Activity‐Based Costing.
• EVA and other shareholder value metrics address two defects in traditional financial reporting of copporate performance;
earnings per share or „bottom line“ performance measure and capital used to generate the income and earnings.
• To avoid this problem is to divide net income by some measure of invested capital to calculate a return on investment (ROI).
Either by increasing the net income or by decreasing invested capital.
EVA corrects both the over‐invested and the under‐
invested problem by subtracting cost of capital from the
net income;
Net Sales
‐ Operating expenses
= Operating profit (EBIT)
‐ Taxes
= Net Operating profit after tax (NOPAT)
‐ Capital charges (Invested capital x Cost of Capital)
= Economic Valua Added
EVA cannot articulating a strategy and complementary
processes. The BSC /shareholder expands value approach
by defining drivers of revenue growth; objectives and
measures for customers, customer value proposition,
internal business process for innovation and customer
relationships, needed infrastructure investments in
people, systems and organizational alignment.
Robert S. Kaplan HBS 2001 No. B0101C
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43. General Background on Credit Conditions
The Eco‐System Approach
•
SCF is an approach for enhancing working capital for both buyers and sellers in a transaction – using an
intermediary tool that links buyers, sellers and third‐party financing entities – thereby reducing supply
chain risks/costs and strengthening business relationships.
•
Simply shifting the burden from one party to another can add significant risk to the supply chain
including customer loss, business continuity risk, supplier viability risk, material cost inflation,
deterioration support, and other issues. Supply chain finance provides an opportunity to collaborate and
create benefits for each side of the transaction.
•
In favour to buyers using superior credit rating to lower overall financing costs within the supply chain
by reducing risk for the supplier in return for an extension of credit terms, thereby enhancing the buyer’s
working capital position.
•
SCF potentially fits best in situations the buyer has access to capital at a lower cost than seller and/or
where the buyer has a significant time gap between inventory purchases and cash receipts from sales.
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45. Shouldn’t all suppliers be squeezed?
Reason why SCF is needed
A comparison of accounting data of industrialized
nations shows that median accounts receivable
ranged from 14% to 33% of sales in 2006.
„If buyers squeezes its supplier on their days
paymement outstanding – the gap for the supplier is
immense and can lead to poor cost of quality.“
Trade across industries*
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49. Traditional Factoring
4
Buyer
Portfolio
Bank,
Factoring
Company
1
Supplier
2
3
Example case
First, suppliers sells goods to buyer with accounts payment e.g. 14days. Second, buyers accepts goods
however squeezes accounts receivable to e.g. 45 days (The big player approach) Third, supplier has 31
days neededs to be finance either by equity or loan, e.g. from bank or factoring company. Fourth, bank
or factoring company will check buyers credit‐rating and lend the outstanding payment to supplier
with equivalent interest. This approach is time intensive, expensive and has a negative impact on the
whole supply chain finance for all parties.
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53. Are we Fit for its Purpose
Companies lose an extentual amount of money after tax when the deliever late and on overspend on
developing new products. More and more manifactures are learning that the time required to develop a new
product has more influance on its success than its costs.
It is common belief in management practice in todays markets that on of the most effective ways to shorten
development cycles is through the collaborative work of cross‐functional development teams. Common
language has little collabartion and suffers throughout a companies hierarchy.
We can define questions like; what features do customers want? How do features translate into sales? Is the
technology available to develop the features? Will the product be manufacturable at the desired price. We
need to measure on what we are doing what we agree must be done! A metric which would encourage
collabration among different function.
Hewlett‐Packard is using a metric called „Return Map.“ The map includes the critical elements of product
development – the investment in product development and the return or profits from that investment. The
map also shows the breakeven time to develop the product, introduce it and achieve the returns.
The greatest virtue perhaps is the goal and measure for all the the functions and thus shifts the teams focus
from „who is responsible“ to „what needs to get done!“ Even more important is to estimate and re‐estimate
the time and money it will take to complete the overall project success!
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54. To be on the Spot of the Market
The Return Map is intended to be
used by all functional managers
and business team.
Basicially it is a two demensional
graph displaying time and money
on the x and y axes respectively.
The x axis is divided into three
segments
–
Investigation,
Development and Manufacturing
& Sales.
Purpose of investigation is to
determine the desired product
features, the products cost and
prize the feasability of the
purpose technolodgieas and the,
plan for product development and
introduction.
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55. The Tean Plotes Estimates
Basic Elements
Investment
Line;
total
product
development effort from beginning to
manufacturing and sales release.
Sales Line; Sales volume over a given
time.
Profit Line; volume of sales and the
price of product in market place.
The critical lines are are systematically
plotted on the Return Map include new
produc investement equity, sales equity
and profit equity. Each of these are
plotted by money and time.
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56. BET – New Metrics
The map tracks – equity and months –
R&D and manufacturing investment, sales,
and profit.
Break‐Even‐Time (BET), is the key metric.
It is defined as the time from the start of
investigation until product profits equal
the investment in development.
Time‐to‐Market (TM), is the total
development time from start of
Manafacturing phase to Manufacturing
Release.
Break‐Even‐After‐Release (BEAR), is the
time from Manufacturing Release until
investment cost are recovered in product
profit.
Return Factor (RF), is a calculation of
profit equity divided by investment equity
at a specific point in time after a product
has moved into manufacturing and sales
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61. Beyond the Data
Three technique by Chambers, Mullick and Smith (HBS 1971):
Qualitative techniques; these are primarily used when data are scarce – for example, when a product is first
introduced into a market. Use of human judgmenet and rating schemes to turn qualitative information into
quantitative estimates.
Time series analysis; these are statistical techniques used when several years’ data for a product or product line
are available and when relationsships and trends are both clear and relatively stable.
Causal models; when historical data are available and enough analysis has been performed to spell out
explicity the relationships between the factor to be forecast and other factors (such as related businesses,
economic forces, and socioeconomic factors), the forecaster often constructs a causel model.
„Tools designed to predict and shape what consumers want have been around for decades. But as with so
many information technologies, they did not begin to take off until the 1990s“ ‐ Davenport, MIT 2009 ‐
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62. What People Want ... And How to Predict It
„Consumers began to come to fruition in the late 1990s, when Amazon.com Inc pioneered the widespread
commercial use of predictions with collaborative filtering.“ This software made recommadations and making
correlations with other products that he or she might like!
Predictions of what products will be successful for creators and distributors of cultural content are less
common. It is easist after the product has developt, when its attributes are clear and there are some indicators
of its popularity. Using regression anlysis will give primary predictions e.g. on how many dvd copies need to be
produced.
Consider the dilemma faced by consumer trying to „keep up.“ The likely agree with the sentiment expressed by
the New York Times media critique;* „Like most Americans, I am overwhelmed by the velocity of everydaylife
and the volume media that goes with it.“
Just as a consumer products company wouldn’t dream of launchig a new product without first testing it with
consumers, no company will launch any expensive‐to‐create offering without putting it to some form of
systematic prediction
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64. The effect of inflation
New Price (t) = Base Price (1 + inflation rate)t
1 0 7 1 0 0 (1 . 0 7 )
114.49 = 100 1 + .07
For one Year
2
1 2 2 .5 0 1 0 0 (1 .0 7 ) 3
For two Years
For Three Years
If we assume the inflation rate to be 7% then these three totals will be
required to buy the same item in the given periods.
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65. Cash Flow Management
•
A cash flow (CF) is a continuous stream of payments which shifts the equations
for FV and PV. For instance you need to choose between purchasing a piece of
equipment or leasing it at a monthly rate.
•
There are many factors that enter into this type of question such as the amount
of payment required on the lease, the alternative use of capital for other projects
and the ability to make a large down payment. The way this type of problem
should be worked is to determine if the present value of the leasing payment cash
flow is greater than or less than the current purchase price.
•
Future cash flows may be discounted to account for the effect of inflation (called
discounted cash flow – DCF or cost of money is factored‐in)
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66. Internal Rate of Return (IRR)
•
This is a metric that assesses the value of alternate investment proposals to
determine their relative worth to the organization.
•
When this is set as a minimum acceptable return for a project, then this becomes the
“hurdle rate” which must be exceeded if the investment is going to proceed.
•
The cost of capital (COC) is the after‐tax return rate a business must achieve in order
to exceed the capital investment that a company could make in the market at large.
•
If CFn refers to the cash flow of a Project in the nth year of that project (t = total
length), then solving the following equation for r (rate) will provide the IRR:
CFn
Project Cost = (1+ r)n
n=1
t
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68. Present Value (PV)
•
Description: the concept of present value (PV) is illustrated by the principal on a
loan. Interest (I) is the amount of money that you are charged for the use of the
principal. Future Value (FV) is the sum of principal (P) and the amount of interest
that is accrued over a period of time. The cumulating value of interest (accrual) is
the effect of two factors: Time (t) that money is used and the Rate (r) of interest that
is charged.
•
Instructions:
•
Applications: FV1 = PV (1 + r), for one year at simple interest
FVt = PV + PVrt, over time at simple interest)
•
Compound interest would change to: FVt = PV(1 + r)t
•
Example: What is the monthly payment on a loan of $18,000 which must be paid on
a monthly basis over 5 years at a simple interest rate of 8%? [HINT: Payments = FV /
N payments].
PV + I = Future Value
Money now + Interest = Money later
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92. Getting to improved bottom‐line results:
“The total cost of quality is unknown and unknowable.”
- W. Edwards Deming ‐
•
•
•
•
•
•
•
•
•
Process control is a pre‐requisite for error‐free quality results.
Cost of quality (COQ) increases as s a result of poorly controlled processes.
Process control can be measured in terms of yield (PPM and sigma).
Therefore, there is a direct correlation between yield (PPM and sigma) measurements
and COQ.
COQ for an average company typically exceeds 20% of sales revenue.
COQ accumulates across the value chain from supplier through production to
distribution.
In almost every company where the COQ is unknown it is safe to estimate that it
exceeds the company’s profit margin!
Most improvement programs are not tied directly to bottom‐line results, so gains are
sub‐optimized and improvements are not accurately reflected in the company’s
accounting statements which only show aggregate results.
Activity‐based costing helps illustrate gains better than standard methods.
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104. Weaknesses in cost accounting:
•
Cost accounting (standard cost) measures average performance and does
not reflect process variation or design capability – it is related to Cpk. In
effect, Cpk becomes the target performance for standard cost accounting.
•
Cost accounting measures the ‘cost of doing’ but not the ‘cost of not
doing’ ‐ measures the cost of the in‐line processes, but not the cost of off‐
line or corrective action when the process is not able to operate at
targeted performance.
•
Cpk describes the average cost of the process and does not reflect the
‘best day’s performance’ of the process (Cp).
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105. Productivity Investment Dilemma!
Capability Requirement
Common Cause Variation = Building the System!
ROI
Expected Return
Capability
Acquired
Cp
Long-term capital budgeting acquisition decision.
Capability Applied
Capability Erosion
Cpk
Process Analysis
These decisions are unique and
typically are taken
independently of each other –
not a good thing to do.
Standard Cost Analysis
Capacity Planning
Yield
Production Efficiency
Short-term productivity optimization decision.
Financial Analysis by Michael R. Büchler
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106. What is process capability?
•
Process capability (Cp) is a process performance ratio that is used to
describe the ability of a process to meet the expectation of its customers
for performance.
•
Process capability is calculated as the voice of the customer (or the width
of tolerance in their agreed‐upon specification) divided by the voice of the
process (six standard deviations of design performance variation ).
•
Process capability is not ‘centered’ around mean performance, and
represents an absolute ratio of performance – the best that a process can
perform based on its designed capability.
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107. Process capability & acquisition decision:
•
When capital acquisitions are made, the choice of alternative is based on
the design capability of the system (Cp performance measure) and an
expectation is set that this design capability (or nameplate performance –
the performance that is advertised for a process) will be delivered in the
real world.
•
Comparison of alternative capital acquisitions is based on an analysis of
the design capabilities.
•
Real‐world performance is always degraded from the design capability –
leading to a second indicator of process capability.
Financial Analysis by Michael R. Büchler
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108. Cpk measures current performance:
•
Process capability (also indicated as Cpk), is a ratio of performance that is
related to Cp – only it is referenced to the closest of the upper or lower
specification limits.
•
Cpk represents shifts in performance degradation from designed Cp value
based on observed process performance.
•
Cpk indicates the performance of a process in routine operation.
Note: Cpk provides a short-term estimate for more than a point estimate
use either an average Cpk or Ppk to capture the long-term performance
loss.
Financial Analysis by Michael R. Büchler
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109. Capital efficiency ratio:
•
The capital budgeting analysis was based on the Cp of the design, rather
than the Cpk of the operating process.
•
When daily operations are evaluated the measure used for the capital
budget is not reflected in routine work – only average performance of
standard cost is used. The difference between average and target is a
loss in capital efficiency.
•
This capital efficiency loss can be used to estimate the potential for
improvement in ‘return on capital employed’ based that may be obtained
by moving from the Cpk to Cp performance level.
Financial Analysis by Michael R. Büchler
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110. Delivering Bottom Line Performance:
Proce s s Ca pa bility Ana lys is
Ta rge t
LS L
Capital Efficiency =
Designed process
capability (Cp)
US L
Within
Ove ra ll
Achieved Cpk
Design Cp
Achieved process
capability (Cpk)
1.5
2.5
3.5
4.5
5.5
6.5
Capital Effectiveness = Capital Employed X Capital Efficiency
Return on Capital Employed (Adjusted) =
Financial Analysis by Michael R. Büchler
Return
Capital Efficiency
110