The assignment covers a period of 12 years, starting from 2007 and ending in 2018. It presents data on GDP, growth rates, inflation rates, and forecasts for multiple countries and regions. The analysis provides insights into the trends and patterns observed during this period, offering a comprehensive overview of global economic developments.
Contribute Materials
Your contribution can guide someone’s learning journey. Share your
documents today.
Money and banking
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
Table of Contents INTRODUCTION...........................................................................................................................1 MAIN BODY...................................................................................................................................1 2. Data Collection and Display...............................................................................................1 3. Data Processing and Conclusions.......................................................................................1 3a. Change in NarrowYC or Broad MoneyYC......................................................................1 3b. Percentage rate of inflation, π YC based on the CPIYC..................................................2 3c.Percentage growth rate of real GDP for the sample period...............................................3 3d. Inflation Rate against Growth in Narrow or Broad Money..............................................4 3e. Correlation Coefficient based on Broad MoneyYC growth and Inflation Rate (πYC)....4 3f. Graphical Representation of Real Deposit Rate of Interest..............................................4 3g. Graphical Representation of Real Loan Rate of Interest..................................................5 4. Brief Discussion of Singapore............................................................................................5 5. Learnings Derived..............................................................................................................6 CONCLUSION................................................................................................................................6 APENDIX........................................................................................................................................9 .......................................................................................................................................................10
INTRODUCTION Money is nay item as well as verifiable record which is generally accepted as payment for goods and services. Along with this, money is utilise for repayment ofliability like taxation within specific nation or socio-economic(Zwass, 2017). Apart from this, bank is financial institution which accept deposits from public and in against of these create credit. Overall activities taken place within bank sector is known as banking. MAIN BODY 2. Data Collection and Display [Covered in Excel Sheet] 3. Data Processing and Conclusions 3a. Change in NarrowYCor Broad MoneyYC Narrow Money (2006 to 2018): 2006200720082009201020112012201320142015201620172018 0 0.05 0.1 0.15 0.2 0.25 0.00% 22.39% 18.40% 23.47% 20.34% 16.10% 7.75% 9.87% 3.64% 0.14% 7.67%6.34% 0.43% Years Percentage Change It is the category of money supply which involves all physical money like coins & currency, Demand deposits as well as other liquid assets held by the central bank(Brown, Evangelou and Stix, 2018).Formula for calculating narrow money are as follows :- Narrow moneyYC(M1)= Currency in Circulation + Demand Deposits 1
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
In Singapore has experienced fluctuations occasionally. One can observe that Narrow Money reached its lowest in 2015 where it decreased by 0.14% from 2014. Beyond this point, it was able to regain its presence by 2016 with an increase of 7.67% recorded. However, since then, it has been declining continuously in a disproportionate manner. 3b. Percentage rate of inflation, πYCbased on the CPIYC Inflation (πYC)is quantitative measure of rate at that average price level of basket selected product as well as services within economy increases within period of time(Phillipsand Minsky, 2016). Inflation based on the Consumer Price Index (CPIYC) is calculated by converting the year- on-year changes recorded into percentage form. Based on this, the following rate of inflation is depicted for the time period between 1999 and 2018: 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 -0.15 -0.1 -0.05 0 0.05 0.1 Years Inflation Rates As per the above plot, one can observe that currently Singapore is experiencing a negative inflation in its economy. It can also be seen that there has been a constant attempt to break the base inflation rate of 0% in previous years such as 2002, 2014 to 2016. However by 2018, there has been a continuous trend of negative inflation. 2
3c.Percentage growth rate of real GDP for the sample period 9900010203040506070809101112131415161718 -30 -25 -20 -15 -10 -5 0 5 0.000.46-1.11 -5.20 0.051.16-0.210.190.02-0.27-1.09 -26.33 -0.57-0.340.16-0.18-0.390.120.39-0.18 Years Real GDP (%) The above graph depicts the percentage change or growth rate of Real GDP between 1999 and 2018. Again, there has been previous attempts in the economy to break the base rate of 0%. However, between 2009 and 2011, one can see a sudden drop in the Real GDP growth rate. This is mainly due to the fact that Singapore, as an economy, was able to regain from Real GDP rate of -0.60 to 15.20. This shows that there has been a considerable amount of improvement by Singapore in this year. 3
3d. Inflation Rate against Growth in Narrow or Broad Money 2006200720082009201020112012201320142015201620172018 -0.15 -0.1 -0.05 0 0.05 0.1 0.15 0.2 0.25 0.3 Years Percent Rates In the above graph, the yellow, Red and Blue lines depict the inflation rate, growth in broad money and growth in narrow money respectively. One can say that 2015 has proved to be a crucial year for Singapore's economy in the time period ranging between 2006 and 2018. This is mainly because, this is the year when the continuous decline that started in 2011 came to a halt and there was a convergence between M1 and Inflation Rate. Also, since 2015, the economy struggles to keep its inflation rate positive which is currently negative. 3e. Correlation Coefficient based on Broad MoneyYCgrowth and Inflation Rate (πYC) The Correlation Coefficient based on Broad MoneyYCgrowth and Inflation Rate for the given time period comes to 0.309. This variable helps in understanding the relative strength between two variables which is mainly based on their movements in relation to one another.A value of 0.31 shows a positive yet weak correlation between the inflation rate and broad money with meek significance or strong insignificance. Also, it is worthy to note that the two variables move in same direction. 3f. Graphical Representation of Real Deposit Rate of Interest rD,YC= iD,YC- πYC;where rD,YC= Real Deposit Rate iD,YC= Nominal loan rate of interest. 4
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
The structure of Singapore financial system is well regulated, highly developed and supervised by authorities. Performance over the study period was found satisfactory as emphasis of authorities was on maintaining integrity as well as stability in financial system. 4b. measuresrelatedtoproactivepolicies,financialdevelopmentstrategies,recoveryplans, settlement of important banks, banking restructuring programmes supervising commercial banks are some supervisory measures adopted by Singapore financial systems to overcome from global financial crises as well as the ongoing crises between countries. 4c. Yes, the country hasIslamic banking and financial institutions. These institutions performs financial activities in compliance with Islamic laws. 4c. Reason behind the choice of monetary policy strategy was to promote employment, maintain stable prices, supporting conditions for economic growth. There were no significant changes in the strategy of monetary policy in the Singapore over the study period. 4d. Monetary policy was successful in keeping inflation low and stable at great extent as it was controlled by setting high interest rates. Interest rates helped in reduction of demand which leads to lower economic growth as well as stable inflation. 5. Learnings Derived By conducting this empirical exercise about the policies and issues of Singapore with respect to money, banking and finance and related matters, it can be asserted that, the use of empirical monetary economics to learn about systemic monetary-banking problems is quite helpfulin a global context. It helps in gaining valuable insights in regards to trends that an economy is experiencing as well as enables one to provide various that can be implemented to improve its current state. CONCLUSION From the above discussion it has been concluded that money and banking are interrelated term both are working with the assistance of each other. There are several other term also which 6
play important role in these two such as inflation, deflation, GPD, Nominal GDP, Real GDP, growth rate and many more. 7
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
APENDIX Data of Singapore 2a.2b.3a.2c.3a.2d.3b.2d.2e.3c.2f.2g. Yea r Nomi nal GDPS GP [Mil. SGD, NSA] Narr ow Mon ey [Billi on dolla r] Change in Narrow Money (%) Broad Money [current LCU] Cha nge in Broa d Mon ey (%) CPI [bas e year 2010 ] Chn age in CPI [bas e year 2010 ] Perc enta ge Cha nge in CPI [Bas e Year 2010 ] = Infla tion Rate GDP Defl ator [201 0] Real GDP [ Bas e Year = 2010; publi shed] Grow th in Real GDP (%) Depo sit Rate of Inter est Loan Rate of Intere st 199 9 17447400 0000 0.00 % 84.0 50.000.00 % 86.8 496.100.001.4110.09 200 017089800 0000 - 2.05 % 85.2 01.141.36 %90.0 96 8.900.46 1.34 2.02 200 1 18090900 0000 5.86 % 86.0 50.851.00 % 88.0 76-1.00-1.111.288.07 200 218030800 0000 - 0.33 % 85.7 1-0.34 - 0.39 % 86.9 76 4.20-5.20 0.75 6.68 200 3 19482800 0000 8.05 % 86.1 50.440.51 % 85.4 914.400.050.447.14 9