...System Date | Title | Jun. 19, 2014 | Portfolio Rebalancing Following the Bank of Japan's Government Bond Purchases: A Fact Finding Analysis Using the Flow of Funds Accounts Statistics | Jun. 19, 2014 | Portfolio Rebalancing Following the Bank of Japan's Government Bond Purchases: Empirical Analysis Using Data on Bank Loans and Investment Flows | Apr. 23, 2014 | Financial System Report (April 2014) | Apr. 23, 2014 | New Financial Activity Indexes: Early Warning System for Financial Imbalances in Japan | Mar. 31, 2014 | Survey on Core Deposit Modeling in Japan: Toward Enhancing Asset Liability Management | Feb. 7, 2014 | Estimation of Firms' Default Rates in terms of Intangible Assets | Jan. 17, 2014 | Benchmarking of Unconditional VaR and ES Calculation Methods: A Comparative Simulation Analysis with Truncated Stable Distribution | Oct. 23, 2013 | Financial System Report (October 2013) | Sep. 24, 2013 | Risk Aggregation by a Copula with a Stressed Condition | Jul. 26, 2013 | Financial Results of Japan's Banks for Fiscal 2012 | May 2, 2013 | Identifying Conventional and Unconventional Monetary Policy Shocks: A Latent Threshold Approach | Apr. 17, 2013 | Financial System Report (April 2013) | Mar. 25, 2013 | Banks' Stockholdings and the Correlation between Bonds and Stocks: A Portfolio Theoretic Approach | Mar. 19, 2013 | What is the Major Determinant of Credit Flows through Cross-Border Banking? | Mar. 15, 2013 | Questionnaire Survey...
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...Financial Statement Analysis Vertical Common Size – Balance Sheet Mar 13 Mar 12 Mar 11 Mar 10 Mar 09 Mar 08 Mar 13 Mar 12 Mar 11 Mar 10 Mar 09 Mar 08 SOURCES OF FUNDS : Share Capital Reserves Total Equity Share Warrants Equity Application Money Total Shareholders Funds Secured Loans Unsecured Loans Total Debt Other Liabilities Total Liabilities 971.41 971.41 959.41 887.41 6,203.45 6,203.30 54,238.27 51,245.05 45,807.02 36,074.39 23,972.81 21,097.43 0 0 178.2 0 0 0 0.16 0.17 0.61 0.14 0.24 5.65 55,209.84 52,216.63 46,945.24 36,961.94 30,176.50 27,306.38 2,036.02 1,915.47 2,009.18 2,259.32 3,913.05 3,520.58 25,471.77 24,256.78 26,291.94 22,979.88 23,033.13 14,501.11 27,507.79 26,172.25 28,301.12 25,239.20 26,946.18 18,021.69 4,769.29 4,424.33 4,075.35 1,164.11 0 0 87,486.92 82,813.21 79,321.71 63,365.25 57,122.68 45,328.07 1 1 1 1 11 14 62 62 58 57 42 47 0 0 0 0 0 0 0 0 0 0 0 0 63 63 59 58 53 60 2 2 3 4 7 8 29 29 33 36 40 32 31 32 36 40 47 40 5 5 5 2 0 0 100 100 100 100 100 100 Vertical Common Size – Balance Sheet Mar 13 APPLICATION OF FUNDS : Gross Block Less : Accumulated Depreciation Less:Impairment of Assets Net Block Lease Adjustment Capital Work in Progress Investments Current Assets, Loans & Advances Inventories Sundry Debtors Cash and Bank Loans and Advances Total Current Assets Less : Current Liabilities and Provisions Current Liabilities Provisions Total Current Liabilities Net Current Assets...
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...Sales Forecast Memo The objective of this memo is to discuss the predictions of automobile sales in the US for the month of March 2012. The prediction is to take into account the historic data (provided) and current marketing environment. At first, two approaches of the analytical (quantitative) method were used – moving average and exponential smoothing. The objective of doing so was to get an idea of the prediction based on historic data only. Once that was done, the marketing environment was taken into consideration - to see how it would effect the predictions made by the models. In general, there are a lot of underlying factors to consider when doing a sales forecast – mainly categorized into controllable and uncontrollable factors. Since this forecast is covers all automobile sales, not just for a particular company, it is safe to say that the controllable factors can be ignored (product mix, prices etc.). However, uncontrollable factors have a big play on this forecast – economy, interest rates, gas prices, industry trends etc. As discussed earlier, the first step was to perform the two analytical approaches. These two approaches smoothed the data and found the underlying trend behind the noise. Table 1 and Table 2 in the Appendix shows the steps used to formulate this trend. Actual sales, the moving average and exponential smoothing are shown in Chart 1 in the Appendix. Purely based on this, the moving average would predict the March ’12 forecast to be 535,662...
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...and therefore less companies in the construction industry being liquidated. The question therefore is: Is there a significant correlation between the number of building plans being approved and the number of companies in the construction industry being liquidated? For ease of reference “Building Plans” will mean the number of building plans being approved and “Liquidations” will mean the number of companies in the construction industry being liquidated. DATA AND HYPOTHESES All data used in this assignment was obtained from Statistics South Africa (http://www.statssa.gov.za/timeseriesdata/excel_format.asp) and extracts thereof are provided in table format in Appendix A. The time period under evalution is January 2000 to October 2011. The raw monthly data was used. The null and alternative hypotheses are: H0: There is no significant linear relationship between Liquidations (dependent variable) and Building Plans (independent variable). H1: A significant linear relationship exists between Liquidations and Building Plans. RESULTS AND DISCUSSION 1 Description of data Excel was used to calculate descriptive statistics for the Building Plans and Liquidations. The results are as follows: |Liquidations |Building Plans | |Mean |24.18309859 |Mean ...
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...ASSESSMENT OF COMPETITION IN CEMENT INDUSTRY IN INDIA RESEARCH PROJECT REPORT SUBMITTED TO THE COMPETITION COMMISSION OF INDIA SUBMITTED BY: SUMIT PAL SINGH MBA (2011-2013) VINOD GUPTA SCHOOL OF MANAGEMENT, IIT KHARAGPUR i ACKNOWLEDGMENT I extend my sincere gratitude to The Competition Commission of India, for giving me an opportunity to intern at the commission. In specific, I thank Mr. Rakesh Kumar, Joint Director (Eco) for being a guiding force throughout this submission and being instrumental in the successful completion of this project. Without him every effort of mine would have been in vain. He has been kind and patient throughout, to share with me his precious time, thoughts and insights. Sumit Pal Singh Vinod Gupta School of Management, IIT Kharagpur ii DISCLAIMER This project report/dissertation has been prepared by the author as an intern under the Internship Programme of the Competition Commission of India for academic purposes only. The views expressed in the report are personal to the intern and do not reflect the view of the Commission or any of its staff or personnel and do not bind the Commission in any manner. This report is the intellectual property of the Competition Commission of India and the same or any part thereof may not be used in any manner whatsoever, without express permission of the Competition Commission of India in writing. iii TABLE OF CONTENTS 1. INTRODUCTION ..........................................................
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...181,693 Count # 1 Name : INCONTRADE ( 99909 ) Sub Total: Branch Name : Head Office MR No. 74514 Doc Date 16-Aug-11 Document No. AIL/HO/MV/PV/CERT-052 8/08/2011 Insured Name Incontrade Ltd O/S Type Part Sub Total of Part : Premium 1,918 1,918 1,918 183,611 VAT 0 0 0 0 Stamp 0 0 0 0 Total 1,918 1,918 1,918 183,611 Count # 1 Sub Total: Grand Total: Name : Hon'ble Director Ms.Farzana Afroze ( 103009 ) Branch Name : Local Office MR No. 59426 Doc Date 27-Jul-10 Document No. AIL/LO/IAR/P-001/07/201 0 Insured Name Samuda Chemical Complex Ltd O/S Type Part Sub Total of Part : Premium 632,117 632,117 632,117 VAT 0 0 0 Stamp 0 0 0 Total 632,117 632,117 632,117 Count # 1 Name : Hon'ble Director Mr.Mohammad Mustafa Haider ( 103010 ) Sub Total: Branch Name : Local Office MR No. 22492 24426 24451 24452 24470 26403 26476 27886 27887 27929 30966 31002 31003 31004 31005 31014 31015 31016 Doc Date 02-Apr-07 04-Apr-07 24-Apr-07 24-Apr-07 08-May-07 03-Jun-07 17-Jun-07 07-Aug-07 07-Aug-07 12-Sep-07 23-Jan-08 03-Mar-08 03-Mar-08 03-Mar-08 03-Mar-08 12-Mar-08 12-Mar-08 12-Mar-08 Document No. AIL/LO/MV/PV/CERT-10/ 04/2007 AIL/LO/MV/PV/CERT-12/ 04/2007 AIL/LO/MV/PV/CERT-17/ 04/2007 AIL/LO/MV/PV/CERT-18/ 04/2007 AIL/LO/MV/PV/CERT-19/ 05/2007 AIL/LO/MV/PV/CERT-021 /06/2007 AIL/LO/MV/PV/CERT-023 /06/2007 AIL/LO/MV/PV/CERT-027 /08/2007 AIL/LO/MV/PV/CERT-028...
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...Running head: FINANCIAL MANAGEMENT Financial Management: Comparing Google’s Business Model/ Financial Management with Microsoft By: Zanthe Gillison Strayer University Financial Management: Comparing Google’s Business Model/ Financial Management with Bing Google is doing bigger and better things in the world of internet media searching. Despite the challenges with other big names in Internet technology, Google and Microsoft have still remained to be leaders. In this paper, I will show comparison views of Google’s business model and financial management with Microsoft’s launch with Bing. Taking a look into Google and Microsoft core business, leading products and services, management and leadership styles, and innovation track record we will have the opportunity to compare the two businesses in and appendix. Google is known to be the leading internet media website’s in the world. Google and Microsoft are well-known internet information websites. Although, Microsoft is in business for more than searching the internet, Microsoft is known to be the world’s leading producer and marketer of computer software. Google’s product line and services are for Google products only. Google’s products include services that will enhance your desktop features such as Google Chrome and Google desktop which is an organizational tool that gives the customer the option to design and edit photos, organize personal and business information, search, and communicate with...
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...Effects of Cloud Computing in the Global Business Environment Table of Contents INTRODUCTION…………………………………………………………………………………………………….…..............3-4 CLOUD COMPUTING REDUCTION IN COST……………………………….………………………………….....….4-7 CLOUD COMPUTING AND THE CHANGE OR CREATION OF SERVICES ………………….………….7-10 ECONOMIC IMPACT OF CLOUD COMPUTING………………………………………..………………..……….10-12 COMPARISON OF COMPANIES BEFORE/AFTER CLOUD COMPUTING…….………………………12-15 US ENERGY AND CLIMATE POLICY………………………………………………………………………………………15 CLOUD COMPUTING PROVIDERS………………………………………………………………………………….....16-21 Salesforce.com……………………………………………………………………………………………………………....16-17 Amazon-Web Services…………………………………………………………………………………………….....17-19 Cisco Systems…………………………………………………………………………………………………...…..19-21 CLOUD AND INDUSTRY’S FUTURE………………………………………………………………………….……... 21-22 CONCLUSION…………………………………………………………………………………………………….……...……. 22-23 EXHIBITS…………………………………………………………………………………………………………………….…...…. 24 Annual Financials for Salesforce.com…………………………………………………………………..……..24-26 Annual Financials for Amazon-Web Services……………………………………………………….….27-29 Annual Financial for Cisco Systems………………………………………………………………………30-32 Financial Ratios……………………………………………………………………………………………………………….……….33 Grow Customer Base……………………………………………………………………………………………………………….33 Grow Market Share………………………………………………………………………………………………………….……..33 Salesforce Historical Stock Chart……………………………………………………………………………..………………34 ...
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...of stay, 2003 - 2012 Visitor arrivals by mode of transport, 2011 - 2012 Visitors stay by location, 2011 - 2012 Visitors stay by accommodation, 2011 - 2012 Resident departures by purpose of visit, 2012 Resident departures by country of destination, 2012 Charts Chart 1 – Visitor arrivals January - September, 2010-2012 Chart 2 – Visitor arrivals by leading markets (January - September) 2011 v/s 2012 Chart 3 – Visitors stay by location, January - September 2012 SUMMARY 1. Fifteen thousand four hundred and sixty two visitors arrived in Seychelles during the month of September 2012, reflecting an increase of 17% compared to September 2011. This also included visitors in transit. The figure was 25% above the average for the same month of the last five years. In September 2012, visitors stayed for an average of 9.9 compared to 9.8 nights in September 2011 (Table 2). 2. (93%) of visitors arriving in September 2012 were on holiday, whilst 2% were on business or combining business with a holiday (Table 3). (71%) of visitors were from Europe, 12% from Africa, 13% from Asia and 3% from America (Table 4). JANUARY TO SEPTEMBER 2012 Number of visitors and average length of stay 3. One hundred and fifty thousand one hundred and fifty seven visitors arrived during the period January to September 2012, which was 6% above the 2011 level. The average length of stay of these visitors was 9.8 nights compared to 10.0 nights in 2011, indicating a 3% increase in the number of...
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...The Mission to Mars Project Signature Assignment Submitted to: Dr. Archer 06/28/2013 Abstract The purpose of this paper is to describe what the Mission to Mars Project and understand how they plan on surviving accordingly and what they plan to accomplish. The Mission to Mars project is a huge exploration venture for man-kind and can possibly cause a paradigm shift in our world as we know it today. I will describe the Mission exactly as it planned and many flaws that come with their plans. NASA has been defunded so this mission has been privatized by a nonprofit organization (Mission One). Mission One is seeking individuals to volunteer for their mission to Mars. The individuals they choose for the mission will have to expect to live on Mars and colonize the red planet. Most of their plans are just theory and I will research more of their plans like growing vegetation, using solar power, and survival. Introduction to “The Mission to Mars” Project Many great men and women have been able to experience the glory beyond our atmosphere. Retired NASA astronaut, Frank Borman, was one of those great men. Borman was one of the first 24 individuals to fly around the moon. Borman is a modern explorer, beyond the constraints of the seas, or land, Borman was able to reach new heights. This great explorer once said, “Exploration really is the essence of the human spirit, and to pause, to falter, to turn our back...
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...Financial Statement Analysis of WIPRO LIMITED Prepared By: Ajay Dixit Abhishek Jain Megha Kumar Sandesh Gundale : pgpex 8/7 : pgpex 6/7 : pgpex 28/7 : pgpex 41/7 CONTENTS 1 FACT SHEET .................................................................................................................................. 1 1.1 1.2 2 3 SHARE PRICE INFORMATION ........................................................................................................ 1 STOCK PERFORMANCE ............................................................................................................... 1 COMPANY BACKGROUND............................................................................................................. 2 BRIEF INDUSTRY OUTLOOK.................................................................................................... 2 4.1 4.2 4.3 BALANCE SHEET .................................................................................................................... 3 INCOM E STATEM ENT .............................................................................................................. 4 CASH FLOW ........................................................................................................................... 5 4 ABRIDGED STATEMENTS ............................................................................................................. 3 5 ACCOUNTING POLICIES.................................................................
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................................................................5 2. LEARNING MATERIALS ............................................................................................6 3. TIMETABLE AND TEACHING PROGRAMME ...........................................................8 Lecture and Seminar Schedule.................................................................................... 8 Lectures and Readings...............................................................................................10 Seminars ....................................................................................................................17 4. ASSESSMENT SCHEME ..........................................................................................19 Individual Coursework:...
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...000 11,662,000 9,405,000 7,747,000 5,402,400 Outperforming KSE-100 index so far in CY14 The sector has posted a return of 15% so far in CY14 outperforming the benchmark KSE-100 index by 9% which Sector Cap Relative to KSE 100 Index Inde x posted a return of 6%. This was main- 28,000 ly on back of tremendous performance 25,000 by NESTLE which posted a return of 22,000 27.5% in CY14TD outperforming 19,000 KSE-100 index by 21.5% primarily 16,000 owing to buyback news of NESTLE India. Second on the list was National KSE 100 Index Food Producers Foods whose return stayed in line with Source: WE Research the benchmark index. Sector cap in bn 800 700 600 500 400 300 Apr-13 Aug-13 Jan-13 Jun-13 Oct-13 Jul-13 May-13 Mar-13 Jan-14 Feb-13 Sep-13 Nov-13 Cumulative profit slips in 2013 KSE Statistics Indices All Share Index KSE-30TM Index KSE-100TM...
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...Chapter 15 Quiz * Due Mar 26 at 6pm * Points 10 * Questions 10 * Available Mar 19 at 12am - Mar 26 at 6pm 8 days * Time Limit None Attempt History | Attempt | Time | Score | LATEST | Attempt 1 | 36 minutes | 7 out of 10 | Score for this quiz: 7 out of 10 Submitted Mar 19 at 11:58pm This attempt took 36 minutes. Question 1 1 / 1 pts Parameters for stored procedures and functions can be of any valid SQL Server data type except Parameters for stored procedures and functions can be of any valid SQL Server data type except date/time Correct! table xml numeric Question 2 0 / 1 pts Skip to question text. Code a statement that calls the following stored procedure and passes the values ‘2011-12-01’ and 122 to its input parameters. Pass the parameters by name in the reverse order that they’re declared in the procedure. CREATE PROC spInvoiceTotal1 @DateVar smalldatetime, @VendorID int AS SELECT SUM(InvoiceTotal) FROM Invoices WHERE VendorID = @VendorID AND InvoiceDate >= @DateVar; ______________________________________________________________________________ You Answered Correct Answers EXEC spInvoiceTotal1 @VendorID = 122, @DateVar = '2011-12-01'; EXEC spInvoiceTotal1 @VendorID = 122, @DateVar = '2011-12-01' Question 3 0 / 1 pts Before you can pass a table to a stored procedure or a function as a parameter, you must use the ______________________ statement to...
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... * 12 September 2013| CKRA (PT. Citra Kebun Raya Agri Tbk) pindah dari sektor tanaman pangan (kode sektor 1.1) ke sektor pertambangan logam dan mineral lainnya (kode sektor 2.3) 2.2. Sub sektor Perkebunan Daftar perusahaan industri penghasil bahan baku, sektor pertanian, sub sektor perkebunan yang terdaftar di Bursa Efek Indonesia (BEI) adalah No | Kode | Nama | Tanggal | | Saham | Emiten | IPO | 1 | AALI | PT. Astro Agro Lestari Tbk | 09-Des-1997 | 2 | ANJT | PT. Austindo Nusantara Jaya Tbk | 10-Mei-2013 | 3 | BWPT | PT. BW Plantation Tbk | 27-Okt-2009 | 4 | DNSG | PT. Dharma Satya Nusantara Tbk | 14-Jun-2013 | 5 | GZCO | PT. Gozco Plantation Tbk | 15-Mei-2008 | 6 | JAWA | PT. Jaya Agra Wattie Tbk | 30-Mei-2011 | 7 | LSIP | PT. PP London Sumatera Indonesia Tbk | 05-Jul-1996 | 8 | MAGP | PT. Multi Agro Gemilang Plantation Tbk | 16-Jan-2013 | 9 | PALM | PT. Provident Agro Tbk | 18-Oct-2012 | 10 | SGRO | PT....
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