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IMPACT OF MONEY &
QUASI MONEY IN
PAKISTAN ECONOMY
Respected Teacher: Amina Rizwan
Presented To: Prof Amina Rizwan
Presented By:
 Umair Arshad
 Marriam Gill
 Samra Ahmed
 Faiza Ramzan
 Fraz Ali Subhani
Introduction:
Average annual growth rate in money and quasi money.
Money and quasi money comprise the sum of currency
outside banks, demand deposits other than those of the
central government, and the time, savings, and foreign
currency deposits of resident sectors other than the
central government. This definition is frequently called
M2; it corresponds to lines 34 and 35 in the
International Monetary Fund's (IMF) International
Financial Statistics (IFS).
Variables:
 Independent Variables: Money and quasi money (M2)
 Dependent Variable: GDP Growth Rate
Literature Review:
 In modern literature, money is defined in various ways
some inclusive, other exclusive, of time and saving
deposits and some even inclusive of others liabilities of
nonbank financial intermediaries; and the demand for
money is determined by a host of variables. Milton
Friedman, defining money as currency held by the
public plus adjusted demand deposits and time deposits
of commercial banks postulates that the demand
function the price level, the rate of change of price
level, bond and equity yields, and a taste variables; and
he concludes that the demand for money is similar to
that for luxury goods.
Islamic Modes of Finance and the Role of
Sukuk
 Gold, silver, and all quasi-money assets, since gain
in this exchange is riba. The objects of salam are
commodities (or services) that are normally
available in the market and can be specifically
defined in terms of quantity, and quality. The exact
date and place of delivery must be specified
By Abdel-Rahman Yousri Ahmad.
Medium of exchange:
 When money is used to intermediate the exchange
of goods and services, it is performing a function as
a medium of exchange. It thereby avoids the
inefficiencies of a barter system, such as the
"double coincidence of wants" problem. (William
Stanley Jevons 1875)
Unit of account:
 A unit of account is a standard numerical unit of
measurement of the market value of goods,
services, and other transactions. Also known as a
"measure" or "standard" of relative worth and
deferred payment, a unit of account is a necessary
prerequisite for the formulation of commercial
agreements that involve debt. (William Stanley
Jevons 1875)
Store of value:
 To act as a store of value, a money must be able to
be reliably saved, stored, and retrieved – and be
predictably usable as a medium of exchange when
it is retrieved. The value of the money must also
remain stable over time. Some have argued
that inflation, by reducing the value of money,
diminishes the ability of the money to function as a
store of value.(William Stanley Jevons 1875)
Standard of deferred payment:
 While standard of deferred payment is distinguished by
some texts, particularly older ones, other texts subsume
this under other functions. A "standard of deferred
payment" is an accepted way to settle a debt – a unit in
which debts are denominated, and the status of money
as legal tender, in those jurisdictions which have this
concept, states that it may function for the discharge of
debts. When debts are denominated in money, the real
value of debts may change due to inflation
and deflation and for sovereign and international debts
via debasement and devaluation. (William Stanley
Jevons 1875)
Measure of value:
 Money acts as a standard measure and common
denomination of trade. It is thus a basis for quoting
and bargaining of prices. It is necessary for
developing efficient accounting systems. But its
most important usage is as a method for comparing
the values of dissimilar objects. (William Stanley
Jevons 1875)
 Money
 Quasi money
Money
 Money is any object or verifiable record that is
generally accepted as payment for goods and
services and repayment of debts in a particular
country or socio-economic context. The main
functions of money are distinguished as:
 Any kind of object or verifiable record that fulfills
these functions can be considered money.
 Money is historically an emergent market
phenomenon establishing commodity money, but
nearly all contemporary money systems are based on
fiat money.
Fiat money
 Any check or note of debt is without intrinsic use
value as a physical commodity. It derives its value
by being declared by a government to be legal
tender. It must be accepted as a form of payment
within the boundaries of the country, for "all debts,
public and private" .Such laws in practice cause fiat
money to acquire the value of any of the goods and
services that it may be traded for within the nation
that issues it.
Quasi Money:
 A term used to describe highly “liquid assets” other
than “cash” that can be quickly exchanged for cash.
For examples of quasi money would include bank
account balances, Certificates of Deposit and
U.S.Treasury Bills. The amount of quasi money in
an economic is often used by
central bankers, economists and fundamental forex
traders to compute the current level of the money
supply in a country. It is also called near money.
Definition of Near Money:
 An economics term describing non-cash assets that
are highly liquid, such as bank deposits, certificates
of deposit (CDs) and Treasury Bills. Central banks,
economists and statisticians may utilize near money
when determining the current money supply. Near
money refers to assets that can be quickly
converted into cash. It is also called quasi money
Regression Analysis:
 Regression analysis is a statistical tool for the
investigation of relationships between variables.
Usually, the investigator seeks to ascertain the
causal effect of one variable upon another.
 Regression techniques have long been central to the
field of economic statistics (econometrics)
Data Interpretation:
 By applying statistical procedure to analyze facts
from this research..
 Relationship of Money and Quasi money and its
impact or effect on GDP
Year GDP Growth Rate
Money and quasi money
(M2) as % of GDP
1998 2.550234294 47.1502314
1999 3.660132744 44.82025634
2000 4.260088011 38.59469838
2001 1.982484033 39.15125231
2002 3.224429973 43.25191223
2003 4.846320936 46.42524235
2004 7.368571358 48.36162239
2005 7.667304273 49.18651118
2006 6.177542036 44.55519367
2007 4.832817277 47.43290591
2008 1.701405465 43.54570483
2009 2.831658519 40.27346075
2010 1.606680858 41.13943884
2011 2.785944292 37.47580384
Summary Output
Regression Statistics
Multiple R 0.620252803
R Square 0.38471354
Adjusted R Square 0.337383812
Standard Error 1.564870895
Observations 15
ANOVA Table
Column1 df SS MS F
Significance
F
Regression 1 19.90492 19.90492 8.12837 0.013630032
Residual 13 31.83467 2.448821
Total 14 51.73959
Coefficient
s
Standar
d Error t Stat P-value Lower 95% Upper 95%
Lower
95.0%
Upper
95.0%
Intercept -9.587121334 4.771405 -2.00929 0.065737 -19.89511595 0.720873287 -19.89511595 0.720873287
X
Variable
1 0.312183016 0.109498 2.85103 0.01363 0.075626233 0.5487398 0.075626233 0.5487398
RESIDUAL OUTPUT
Observation Predicted Y Residuals
1 5.132380129 -2.58215
2 4.405001487 -0.74487
3 2.461488023 1.7986
4 2.635234708 -0.65275
5 3.915391092 -0.69096
6 4.90605086 -0.05973
7 5.510555822 1.858016
8 5.768072093 1.899232
9 4.322253422 1.855289
10 5.220626312 -0.38781
11 4.007108153 -2.3057
12 2.985569124 -0.15391
13 3.255912777 -1.64923
14 2.112188153 0.673756
15 2.873689583 1.142218
PROBABILITY OUTPUT
Percentile Y
3.333333 1.606680858
10 1.701405465
16.66667 1.982484033
23.33333 2.550234294
30 2.785944292
36.66667 2.831658519
43.33333 3.224429973
50 3.660132744
56.66667 4.015907671
63.33333 4.260088011
70 4.832817277
76.66667 4.846320936
83.33333 6.177542036
90 7.368571358
96.66667 7.667304273
Normal Probability Plot
0
1
2
3
4
5
6
7
8
9
Y
Sample Percentile
Normal Probability Plot
Series1
X Variable 1 Line fit Plot
0
1
2
3
4
5
6
7
8
9
Y
X Variable 1
X Variable 1 Line Fit Plot
Y
Predicted Y
Resources:
 World Development Indicators
 World Bank Groups
 State Bank of Pakistan
 World Bank
 IMF
 Pakistan Bauru Of Statistics
Please Raise Your Hand
If You Have Any
Question ????
Impact of money & quasi money on the economy of Pakistan

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Impact of money & quasi money on the economy of Pakistan

  • 1. IMPACT OF MONEY & QUASI MONEY IN PAKISTAN ECONOMY Respected Teacher: Amina Rizwan
  • 2. Presented To: Prof Amina Rizwan Presented By:  Umair Arshad  Marriam Gill  Samra Ahmed  Faiza Ramzan  Fraz Ali Subhani
  • 3. Introduction: Average annual growth rate in money and quasi money. Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition is frequently called M2; it corresponds to lines 34 and 35 in the International Monetary Fund's (IMF) International Financial Statistics (IFS). Variables:  Independent Variables: Money and quasi money (M2)  Dependent Variable: GDP Growth Rate
  • 4. Literature Review:  In modern literature, money is defined in various ways some inclusive, other exclusive, of time and saving deposits and some even inclusive of others liabilities of nonbank financial intermediaries; and the demand for money is determined by a host of variables. Milton Friedman, defining money as currency held by the public plus adjusted demand deposits and time deposits of commercial banks postulates that the demand function the price level, the rate of change of price level, bond and equity yields, and a taste variables; and he concludes that the demand for money is similar to that for luxury goods.
  • 5. Islamic Modes of Finance and the Role of Sukuk  Gold, silver, and all quasi-money assets, since gain in this exchange is riba. The objects of salam are commodities (or services) that are normally available in the market and can be specifically defined in terms of quantity, and quality. The exact date and place of delivery must be specified By Abdel-Rahman Yousri Ahmad.
  • 6. Medium of exchange:  When money is used to intermediate the exchange of goods and services, it is performing a function as a medium of exchange. It thereby avoids the inefficiencies of a barter system, such as the "double coincidence of wants" problem. (William Stanley Jevons 1875)
  • 7. Unit of account:  A unit of account is a standard numerical unit of measurement of the market value of goods, services, and other transactions. Also known as a "measure" or "standard" of relative worth and deferred payment, a unit of account is a necessary prerequisite for the formulation of commercial agreements that involve debt. (William Stanley Jevons 1875)
  • 8. Store of value:  To act as a store of value, a money must be able to be reliably saved, stored, and retrieved – and be predictably usable as a medium of exchange when it is retrieved. The value of the money must also remain stable over time. Some have argued that inflation, by reducing the value of money, diminishes the ability of the money to function as a store of value.(William Stanley Jevons 1875)
  • 9. Standard of deferred payment:  While standard of deferred payment is distinguished by some texts, particularly older ones, other texts subsume this under other functions. A "standard of deferred payment" is an accepted way to settle a debt – a unit in which debts are denominated, and the status of money as legal tender, in those jurisdictions which have this concept, states that it may function for the discharge of debts. When debts are denominated in money, the real value of debts may change due to inflation and deflation and for sovereign and international debts via debasement and devaluation. (William Stanley Jevons 1875)
  • 10. Measure of value:  Money acts as a standard measure and common denomination of trade. It is thus a basis for quoting and bargaining of prices. It is necessary for developing efficient accounting systems. But its most important usage is as a method for comparing the values of dissimilar objects. (William Stanley Jevons 1875)
  • 12. Money  Money is any object or verifiable record that is generally accepted as payment for goods and services and repayment of debts in a particular country or socio-economic context. The main functions of money are distinguished as:  Any kind of object or verifiable record that fulfills these functions can be considered money.  Money is historically an emergent market phenomenon establishing commodity money, but nearly all contemporary money systems are based on fiat money.
  • 13. Fiat money  Any check or note of debt is without intrinsic use value as a physical commodity. It derives its value by being declared by a government to be legal tender. It must be accepted as a form of payment within the boundaries of the country, for "all debts, public and private" .Such laws in practice cause fiat money to acquire the value of any of the goods and services that it may be traded for within the nation that issues it.
  • 14. Quasi Money:  A term used to describe highly “liquid assets” other than “cash” that can be quickly exchanged for cash. For examples of quasi money would include bank account balances, Certificates of Deposit and U.S.Treasury Bills. The amount of quasi money in an economic is often used by central bankers, economists and fundamental forex traders to compute the current level of the money supply in a country. It is also called near money.
  • 15. Definition of Near Money:  An economics term describing non-cash assets that are highly liquid, such as bank deposits, certificates of deposit (CDs) and Treasury Bills. Central banks, economists and statisticians may utilize near money when determining the current money supply. Near money refers to assets that can be quickly converted into cash. It is also called quasi money
  • 16. Regression Analysis:  Regression analysis is a statistical tool for the investigation of relationships between variables. Usually, the investigator seeks to ascertain the causal effect of one variable upon another.  Regression techniques have long been central to the field of economic statistics (econometrics)
  • 17. Data Interpretation:  By applying statistical procedure to analyze facts from this research..  Relationship of Money and Quasi money and its impact or effect on GDP
  • 18. Year GDP Growth Rate Money and quasi money (M2) as % of GDP 1998 2.550234294 47.1502314 1999 3.660132744 44.82025634 2000 4.260088011 38.59469838 2001 1.982484033 39.15125231 2002 3.224429973 43.25191223 2003 4.846320936 46.42524235 2004 7.368571358 48.36162239 2005 7.667304273 49.18651118 2006 6.177542036 44.55519367 2007 4.832817277 47.43290591 2008 1.701405465 43.54570483 2009 2.831658519 40.27346075 2010 1.606680858 41.13943884 2011 2.785944292 37.47580384
  • 19. Summary Output Regression Statistics Multiple R 0.620252803 R Square 0.38471354 Adjusted R Square 0.337383812 Standard Error 1.564870895 Observations 15
  • 20. ANOVA Table Column1 df SS MS F Significance F Regression 1 19.90492 19.90492 8.12837 0.013630032 Residual 13 31.83467 2.448821 Total 14 51.73959
  • 21. Coefficient s Standar d Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -9.587121334 4.771405 -2.00929 0.065737 -19.89511595 0.720873287 -19.89511595 0.720873287 X Variable 1 0.312183016 0.109498 2.85103 0.01363 0.075626233 0.5487398 0.075626233 0.5487398
  • 22. RESIDUAL OUTPUT Observation Predicted Y Residuals 1 5.132380129 -2.58215 2 4.405001487 -0.74487 3 2.461488023 1.7986 4 2.635234708 -0.65275 5 3.915391092 -0.69096 6 4.90605086 -0.05973 7 5.510555822 1.858016 8 5.768072093 1.899232 9 4.322253422 1.855289 10 5.220626312 -0.38781 11 4.007108153 -2.3057 12 2.985569124 -0.15391 13 3.255912777 -1.64923 14 2.112188153 0.673756 15 2.873689583 1.142218
  • 23. PROBABILITY OUTPUT Percentile Y 3.333333 1.606680858 10 1.701405465 16.66667 1.982484033 23.33333 2.550234294 30 2.785944292 36.66667 2.831658519 43.33333 3.224429973 50 3.660132744 56.66667 4.015907671 63.33333 4.260088011 70 4.832817277 76.66667 4.846320936 83.33333 6.177542036 90 7.368571358 96.66667 7.667304273
  • 24. Normal Probability Plot 0 1 2 3 4 5 6 7 8 9 Y Sample Percentile Normal Probability Plot Series1
  • 25. X Variable 1 Line fit Plot 0 1 2 3 4 5 6 7 8 9 Y X Variable 1 X Variable 1 Line Fit Plot Y Predicted Y
  • 26. Resources:  World Development Indicators  World Bank Groups  State Bank of Pakistan  World Bank  IMF  Pakistan Bauru Of Statistics
  • 27. Please Raise Your Hand If You Have Any Question ????