Relevant bibliographies by topics / Bank loans Data processing

Academic literature on the topic 'Bank loans Data processing'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Bank loans Data processing.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Bank loans Data processing"

1

Harimurti, Cundo, Pandoyo Pandoyo, and Mohammad Sofyan. "FACTORS AFFECTING NON-PERFORMING LOANS IN STATE-OWNED BANKING." International Journal of Economics, Business and Accounting Research (IJEBAR) 6, no. 2 (June 27, 2022): 958. http://dx.doi.org/10.29040/ijebar.v6i2.5273.

Full text
Abstract:
This research aims to analyze the influence of macroeconomic factors projected by inflation and bank-specific factors used, namely Return on Asset, Equity to Asset Ratio, and Bank Size on Non-Performing Loan of State-Owned Banking for the period 2017-2021. This type of research is a causal associative study because it was conducted to determine the effect of Return on Assets, Equity to Asset Ratio, Inflation, and Bank Size on Non-performing State-owned banking Loans for the period 2017-2021. This research data analysis method uses data panel analysis as a data processing tool using EViews version 10. Return on Assets has a significant negative effect on Non-Performing Loans. Equity to Asset Ratio and bank size have a significant positive effect on Non-Performing Loans. Whereas inflation has a positive effect on Non-Performing Loans
APA, Harvard, Vancouver, ISO, and other styles
2

Rulinda Hijjas, Zakina, and Rini Agustiya. "The Impact Of Monetary Policy On Indonesian Bank Loans." ASIAN Economic and Business Development 5, no. 1 (October 30, 2022): 17–26. http://dx.doi.org/10.54204/aebd/vol5no1october2022002.

Full text
Abstract:
This article discusse monetary policy's impact on bank borrowing. The data selected are Indonesian state data and the annual research period for 13 years from 2008 - 2020 with secondary data from the world bank. This study investigates wide money as a percentage of Gdp, Interest payment percent of expense, Domestic credit to private sector by banks percent of GDP. This study uses a quantitative method with an autoregressive vector model with the results of data processing showing that there is no reciprocal or two-way relationship between the three variables. This study found that monetary policy's impact can have macroeconomic action by increasing or limiting the supply of bank loans. This is evidenced by the different magnitudes of growth in lending in various sectors reflecting the growing effects of monetary policy.
APA, Harvard, Vancouver, ISO, and other styles
3

Hernando, Alben, Elvaretta Miranda, Lauw Luvena Aileen Theodora, Yohanes B. Kadarusma, and Glisera Agri Ariyan. "Dampak Faktor Makroekonomi terhadap Non Performing Loan pada Kredit Produktif Bank Umum di Indonesia." Studi Akuntansi dan Keuangan Indonesia 3, no. 1 (June 15, 2020): 1–28. http://dx.doi.org/10.21632/saki.3.1.1-28.

Full text
Abstract:
This study aims to find out the factors that affect non-performing loans of productive loans of commercial banks registeredin oritas Jasa Keuangan. This study examined the macroeconomic variables that affect productive credit NPLs. The sample used is a commercial bank in Indonesia, which is registered in OJK. Productive credit NPL data are taken quarterly from 2003 to 2017,and 56 observationsare obtained. The regression model used in this study is ARDL, with the help of processing Eviews 10 software. The macroeconomic variables tested in this research consist of GDP growth, loan interest rates growth, and IDR/ USD exchangerate growth. GDP growth and exchange rate growth has a negative relationship, while loan interest rates growth does not have a significant relationship with the dependent variable.
APA, Harvard, Vancouver, ISO, and other styles
4

Rosmita Rasyid, Vanesha Valentina,. "Faktor-Faktor Yang Mempengaruhi Kinerja Keuangan Perbankan." Jurnal Paradigma Akuntansi 4, no. 1 (January 20, 2022): 424. http://dx.doi.org/10.24912/jpa.v4i1.17562.

Full text
Abstract:
The purpose of this study is to find out and analyze the influence of capital adequacy ratio, non performing loan, liquidity, operational efficiency, and bank size on financial performance of go public banks listed on Indonesian Stock Exchange during 2017-2019. The research method used was purposive sampling with sample size of 40 banks in accordance with the criteria. The data processing technique uses multiple linear regression analysis with the EViews 11 program. The results showed that capital adequacy ratio, operational efficiency, and bank size have a significant effect on banking financial performance, while non-performing loans and liquidity did not have a significant effect on banking financial performance.
APA, Harvard, Vancouver, ISO, and other styles
5

Wiranegara, Muhammad Andhika. "Pengaruh Penyaluran Kredit Usaha Rakyat, Non Performing Loan,Tingkat Suku Bunga Bank Indonesia dan CAR Terhadap Profitabilitas (Studi Kasus Pada PT Bank Rakyat Indonesia (PERSERO) TBK Periode 2010-2017)." JAF- Journal of Accounting and Finance 3, no. 1 (August 6, 2019): 24. http://dx.doi.org/10.25124/jaf.v3i1.2109.

Full text
Abstract:
The purpose of this study was to determine whether the level of People's Business Credit distribution, non-performing loans, Bank Indonesia interest rates and CAR can affect the level of profitability (Return On Asset) of PT Bank Rakyat Indonesia (Persero) Tbk, this study using secondary data sourced from the quarterly financial statements in the period 2010-2017. In managing the data that is owned, the author uses the SPSS version 20 data processing application. The data analysis technique used is multiple linear regression and to test the hypotheses of this study using t-statistical tests to test hypotheses partially and f-statistical tests to test hypothetically simultaneous. From the results of the tests that have been carried out in the Business Credit distribution, the interest rates of Bank Indonesia and CAR do not partially affect Return On Assets, while the non-performing loans affect Return On Assets. Simultaneously, the variable of People's Business Credit distribution, non-performing loans, Bank Indonesia interest rates and CAR has an effect on Return On Asset of 71.4 percent and the other is influenced by variables other than those studied. Key notes : Kredit Usaha Rakyat, Non Performing Loan, tingkat suku bunga Bank Indonesia, Capital Adequacy Ratio, Return On Asset.
APA, Harvard, Vancouver, ISO, and other styles
6

Yunawati, Sri. "Analisis Perbedaan Kinerja Keuangan Bank Umum Milik Negara Konvensional dan Bank Umum Syariah di Indonesia." Al-Buhuts 15, no. 2 (December 31, 2019): 121–30. http://dx.doi.org/10.30603/ab.v15i2.1104.

Full text
Abstract:
This study aims to to see what there are differences between the financial performance of BUMNN conventional and bank syariah, if reflected in the following the ratio of the CAR , non-performing loans to outstanding loans , ROE , ROA , BOPO, and LDR .In this research put it through statistical analysis of the ratio of descriptive financial used with describing the results of the highest value , the lowest score , the average, and the outcomes of the against a standard deviation, of a variable researched .In this research in conducting statistical testing data processing using kruskal walls, who was one of the probe in statistics non-parametrik who frequently used to test some samples who are not in charge. Based on tests carried out so the results showed that the financial performance of BUMN conventional and Bank Syariah seen from ratio car slightly went up , non-performing loans to outstanding loans, ROE , ROA , BOPO , and LDR there are significant differences.
APA, Harvard, Vancouver, ISO, and other styles
7

Widyaningsih, Novita, and Hersugondo Hersugondo. "INKLUSI KEUANGAN DAN PROFITABILITAS BANK DI INDONESIA." Jurnal Ilmu Manajemen dan Akuntansi Terapan (JIMAT) 12, no. 2 (August 15, 2021): 175. http://dx.doi.org/10.36694/jimat.v12i2.327.

Full text
Abstract:
This study was conducted to examine the effect of financial inclusion and bank profitability. The data test method is done manually, which is obtained from the Bloomberg database and the annual reports of banks listed on the Indonesia Stock Exchange (IDX) in the 2017-2019 period with a total sample of 17 banks. The data from this study are included in the type of panel data and the data processing technique used is in the form of Least Square Analysis (OLS) using SPSS version 23. The results show that the amount of loans and the number of automated teller machines (ATMs) have a negative and significant effect on bank profitability. meanwhile, the number of bank branches has a positive and significant impact on the profitability of banks in Indonesia.
APA, Harvard, Vancouver, ISO, and other styles
8

Safitri, Julia, and Yuridistya Primadhita. "The Role of Credit Risk as Mediating the Effect of Liquidity on Sharia Banking Performance." Perisai : Islamic Banking and Finance Journal 6, no. 1 (March 19, 2022): 40–50. http://dx.doi.org/10.21070/perisai.v6i1.1580.

Full text
Abstract:
This study aims to examine and analyze the relationship of the influence of liquidity on bank performance mediated by credit risk. Using data on Islamic banking companies listed on the IDX in 2013-2019. The methodology of this research was carried out to achieve the objectives of this study, namely how the influence of liquidity on the performance of Islamic banking companies in Indonesia which is mediated by credit risk. By processing data from data collected from the pre-pandemic and during the pandemic, this research can prove the proposed hypothesis. The analytical tool used is SEM-PLS with WarpPLS 7.0 application. The results of this study indicate that credit risk can partially mediate the relationship between the influence of liquidity on bank performance. This study succeeded in proving that the influence of liquidity on bank performance is acceptable and can be mediated by credit risk. This is in line with the Commercial Loan Theory which explains that providing loans to short-term and productive customers can minimize customer defaults, so that the company's performance will be maintained. During the current pandemic, it is one of the things that makes companies careful in managing liquidity as well as in distributing credit. Banks must be really selective in choosing loans submitted by customers, in order to avoid defaults that cause a decline in bank performance.
APA, Harvard, Vancouver, ISO, and other styles
9

Al-qerem, Ahmad, Ghazi Al-Naymat, Mays Alhasan, and Mutaz Al-Debei. "Default Prediction Model: The Significant Role of Data Engineering in the Quality of Outcomes." International Arab Journal of Information Technology 17, no. 4A (July 31, 2020): 635–44. http://dx.doi.org/10.34028/iajit/17/4a/8.

Full text
Abstract:
For financial institutions and the banking industry, it is very crucial to have predictive models for their core financial activities, and especially those activities which play major roles in risk management. Predicting loan default is one of the critical issues that banks and financial institutions focus on, as huge revenue loss could be prevented by predicting customer’s ability not only to pay back, but also to be able to do that on time. Customer loan default prediction is a task of proactively identifying customers who are most probably to stop paying back their loans. This is usually done by dynamically analyzing customers’ relevant information and behaviors. This is significant so as the bank or the financial institution can estimate the borrowers’ risk. Many different machine learning classification models and algorithms have been used to predict customers’ ability to pay back loans. In this paper, three different classification methods (Naïve Bayes, Decision Tree, and Random Forest) are used for prediction, comprehensive different pre-processing techniques are being applied on the dataset in order to gain better data through fixing some of the main data issues like missing values and imbalanced data, and three different feature extractions algorithms are used to enhance the accuracy and the performance. Results of the competing models were varied after applying data preprocessing techniques and features selections. The results were compared using F1 accuracy measure. The best model achieved an improvement of about 40%, whilst the least performing model achieved an improvement of 3% only. This implies the significance and importance of data engineering (e.g., data preprocessing techniques and features selections) course of action in machine learning exercises
APA, Harvard, Vancouver, ISO, and other styles
10

Hadianto, Nur, Hafifah Bella Novitasari, and Ami Rahmawati. "KLASIFIKASI PEMINJAMAN NASABAH BANK MENGGUNAKAN METODE NEURAL NETWORK." Jurnal Pilar Nusa Mandiri 15, no. 2 (September 5, 2019): 163–70. http://dx.doi.org/10.33480/pilar.v15i2.658.

Full text
Abstract:
Payment of loans that experience difficulties in repayment or often called bad credit is a very detrimental thing for the bank, with the occurrence of bad credit the bank does not have the maximum ability to make money for investment. Choosing the right customer must go through the right analysis because the decision to approve or disagree with the loan is the main point that determines the possibility of bad credit. This study aims to classify eligible customers to obtain loans by taking into account existing parameters such as age, total income, number of families, monthly expenditure average, education level and others. This study uses a data mining classification method with a neural network model, to assess the accuracy of data processing using rapid miners then proceed with measurements using confusion matrix, ROC curve. The results of the neural network algorithm after going through confusion matrix testing, the ROC curve shows a very high accuracy value, and the dominant value of AUC and algorithm. The accuracy value is 98.24% with AUC of 0.979
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Bank loans Data processing"

1

余銘龍 and Ming-lung Yu. "Automatic processing of Chinese language bank cheques." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31225548.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Lau, Kwok-wai, and 劉國偉. "Segmentation and recognition of Chinese bank cheque amounts." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B27769240.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Tian, Zhimin. "Essays on economic consequences of inside director reputation." HKBU Institutional Repository, 2014. https://repository.hkbu.edu.hk/etd_oa/62.

Full text
Abstract:
This study consists of two essays. The first essay investigates whether non-CEO inside director reputation matters in bank loan contracting. Reputable inside directors (RIDs) can improve borrowers’ financial reporting quality and reduce agency risk in loan contracting. Based on regression analysis of 5,104 loan facilities during 1999-2007 in the U.S., I find that borrowers with reputable inside directors enjoy lower loan interest rate and a smaller number of restrictive covenants, and are less likely to have the loans secured by collateral, compared with borrowers without RIDs. The results still hold after I control for CEO reputation, and address the endogeneity of RIDs and the joint determination of various loan contracting terms. These findings shed new light on the impact of director-level reputation in the context of bank loan market. The second essay investigates whether non-CEO inside directors with reputation incentives affect the effectiveness of a firm’s internal control over financial reporting. Internal control effectiveness is an important indicator of financial reporting quality. Using a large sample of 7,352 firm-year observations from 2004 to 2012, I find that firms with RIDs are less likely to have reported internal control weaknesses (ICWs). I also find that RIDs have a more pervasive impact on account-level ICWs than company-level ICWs. Empirical results also demonstrate that the association between RIDs and ICWs is more pronounced for firms with lower audit quality, higher CEO entrenchment, and higher cost of misreporting. Further test shows that RIDs can help to improve earnings quality through mitigating ICWs. The study results still hold after I control for CEO reputation, employing alternative proxies and estimation methods, and address the potential endogeneity problems of RIDs. The study findings add to the few empirical studies examining the determinants of ICWs and have corporate governance policy implications for regulators by supporting the desirable role of inside directors in terms of efficient contracting.
APA, Harvard, Vancouver, ISO, and other styles
4

Lam, Hon-yin Hymen. "Chargeout system for data processing services : a case study on Standard Chartered Bank, HK /." Click to view the E-thesis via HKUTO, 1987. http://sunzi.lib.hku.hk/hkuto/record/B42574043.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Lam, Hon-yin Hymen, and 林漢賢. "Chargeout system for data processing services: a case study on Standard Chartered Bank, HK." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1987. http://hub.hku.hk/bib/B42574043.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Townson, Christopher John William. "Information system development methods : the search for order and control in information systems development in a UK bank." Thesis, Lancaster University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274201.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Weaver, Michael B. "Performance comparison between three different bit allocation algorithms inside a critically decimated cascading filter bank." Diss., Online access via UMI:, 2009.

Find full text
Abstract:
Thesis (M.S.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Electrical and Computer Engineering, 2009.
Includes bibliographical references.
APA, Harvard, Vancouver, ISO, and other styles
8

Tsui, Kin-kei Ivan, and 徐建基. "Analysis of internet banking services for Hong Kong banking industry: the case of Hong Kong Bank." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31267725.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Schady, Stuart William. "Money supply endogeneity : an empirical investigation of South African data (2000Q1-2011Q4)." Thesis, Rhodes University, 2013. http://hdl.handle.net/10962/d1001454.

Full text
Abstract:
This study is about whether the money supply in South Africa under a monetary policy regime of inflation‐targeting is exogenously or endogenously determined. The proposition of an exogenous money supply has been offered by monetarists, where the Central Bank determines the quantity of money supplied to the economy and this has a causal influence on income and credit extension. The endogenous money theory is a post‐Keynesian proposition whereby the money creation is determined by banks adjusting their responses to demands for credit‐money from economic agents. The data analysis is from 2000Q1 to 2010Q4 and entails the use of the variables monetary base (MB), domestic credit extension (DCE), M3, and gross national product (GDP). All variables are logged. The empirical tests conducted start with the Augmented Dickey‐Fuller unit root test to determine the variables order of integration. Johansen cointegration tests are done followed by Vector Error‐Correction Models (VECMs) and Granger causality tests to determine whether there is unidirectional or bidirectional causality between variables over the long and short‐run. Based on the results of the testing it was discovered that over the inflation‐targeting regime money supply in South Africa was endogenously determined. Furthermore, the data best supports the Accommodationist analysis of endogenous money as opposed to that of Structuralism and Liquidity Preference
Adobe Acrobat 9.53 Paper Capture Plug-in
APA, Harvard, Vancouver, ISO, and other styles
10

Bohnstedt, Jan. "Fernwartung : die rechtlichen Grenzen des IT-Outsourcing durch Banken /." Baden-Baden : Nomos, 2005. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=014614364&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Bank loans Data processing"

1

Sandor, Boyson, ed. Information technology in World Bank lending: Increasing the developmental impact. Washington, D.C: World Bank, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Miller, James C. Microcomputer support of commercial lending: A management perspective. Philadelphia, Pa: R. Morris Associates, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Lasek, Mirosława. Wielokryterialna ocena kondycji ekonomicznej firm-klientów banku. Warszawa: Wydawnictwa Uniwersytetu Warszawskiego, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Weber, Olaf. Integration von Wissensmodulen bei der Kreditvergabe. Frankfurt am Main: New York, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

United States. Office of the Comptroller of the Currency. Multinational Banking Division. and United States. Federal Home Loan Bank Board., eds. Computerized loan origination networks and traditional mortgage lenders. [Washington, D.C.?]: Comptroller of the Currency, Administrator of National Banks, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Clemenz, Gerhard. Credit markets with asymmetric information. Berlin: Springer-Verlag, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Petersen, Mitchell A. Does distance still matter?: The information revolution in small business lending. Cambridge, MA: National Bureau of Economic Research, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Byrne, Susan Paula. The Irish mortgage industry: A study of the electronic market hypothesis. Dublin: University College Dublin, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Inc, Regulatory Compliance Associates. Bank data processing policies and procedures. Austin, Tex: Sheshunoff, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Moore, Robert R. Bank lending and bank capital: A panel data assessment of market and accounting values. Dallas, TX: Federal Reserve Bank of Dallas, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Bank loans Data processing"

1

Talavera, Alvaro, Luis Cano, David Paredes, and Mario Chong. "Data Mining Algorithms for Risk Detection in Bank Loans." In Information Management and Big Data, 151–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11680-4_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gorski, Nikolai. "Bank Cheque Data Mining: Integrated Cheque Recognition Technologies." In Digital Document Processing, 437–58. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-726-8_20.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Şit, Mustafa, Ahmet Şit, and Haydar Karadağ. "The Impact of Tourism Demand on Tax Revenues and Bank Loans in Turkey." In Advances in Cross-Section Data Methods in Applied Economic Research, 675–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38253-7_45.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Poesio, Massimo, Nils Diewald, Maik Stührenberg, Jon Chamberlain, Daniel Jettka, Daniela Goecke, and Udo Kruschwitz. "Markup Infrastructure for the Anaphoric Bank: Supporting Web Collaboration." In Modeling, Learning, and Processing of Text Technological Data Structures, 175–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22613-7_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Griguta, Vlad-Marius, Luciano Gerber, Helen Slater-Petty, Keeley Crocket, and John Fry. "Automated Data Processing of Bank Statements for Cash Balance Forecasting." In Lecture Notes in Networks and Systems, 49–64. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80126-7_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Palazzesi, Alberto, Chiara Frigerio, and Federico Rajola. "Conciliating Exploration and Exploitation at Middle-Manager Level: The Case Study of a European Bank Introducing Big Data." In Lecture Notes in Business Information Processing, 90–105. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28151-3_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Chu, Xiaoyan, Tao Jiang, Xiaohu Li, and Xiaowei Ding. "Bye Audit! A Novel Blockchain-Based Automated Data Processing Scheme for Bank Audit Confirmation." In Communications in Computer and Information Science, 68–82. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3278-8_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Salzman, Harold, and Stephen R. Rosenthal. "Banking and a Tale of Two Systems." In Software by Design. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195083408.003.0010.

Full text
Abstract:
The 1980s were the worst of times for many in the banking industry. Following the deregulation of the early 1980s, the industry nearly went into shock as more than 2,000 banks and savings and loans failed. Banking could no longer be characterized as a staid enterprise of blue pin-striped suits and “banker’s hours.” Deregulation and competition made traditional ways of doing business obsolete and, in many cases, disastrous for banks that failed to adapt. A record number of banks were unable to make the transition successfully and, among those that survived, it was a difficult period that required them to reassess their operations. Software developed for the banking industry during this period reflected the contradictions of an industry in transition. Some banks tried to maintain their traditional values and operating procedures in their system design requirements. However, some software developers found that changes in the banking environment and their own software market required them to consider different values and methods of service delivery in their designs for new systems. A brief account of the industry’s evolution with computer systems sets the stage for the cases presented in this chapter. Banks are large users of computer systems and were among the first large commercial institutions to use computers. Design of banking systems has been affected by changes in technology, external regulation, competition, and the labor market. These changes have combined to define the operational objectives of new computer system designs. During the 1950s and 1960s, banks installed large mainframe systems for back office transaction processing, such as account updating, on a batch system mode. By the 1970s large banks had invested extensively in mainframe computer systems and smaller banks were beginning to adopt computer systems as prices dropped and smaller computers became more powerful. In both large and small banks, computer applications were increasingly introduced to support front office transactions of tellers and customer service representatives in branch offices. Because these systems make data instantly available for a variety of steps in processing transactions, they integrate people throughout the banking organization.
APA, Harvard, Vancouver, ISO, and other styles
9

DEITEL, HARVEY M., and BARBARA DEITEL. "Data Communications." In Test Bank to Accompany Computers and Data Processing, 126–55. Elsevier, 1985. http://dx.doi.org/10.1016/b978-0-12-209023-3.50010-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Topi, J., and J. Vilmunen. "Transmission of monetary policy shocks in Finland: evidence from bank-level data on loans." In Monetary Policy Transmission in the Euro Area, 372–80. Cambridge University Press, 2003. http://dx.doi.org/10.1017/cbo9780511492372.027.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Bank loans Data processing"

1

Li, Xin, Xianzhong Long, Guozi Sun, Geng Yang, and Huakang Li. "Overdue Prediction of Bank Loans Based on LSTM-SVM." In 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2018. http://dx.doi.org/10.1109/smartworld.2018.00312.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ablaev, E. "Industrial structure of short-term lending in 1928–1935: a quantitative analysis of archival materials of the State Bank of the USSR." In Historical research in the context of data science: Information resources, analytical methods and digital technologies. LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1782.978-5-317-06529-4/6-13.

Full text
Abstract:
The study deals with the transformation of the industrial lending practices in the USSR during the credit reform of the 1930s. The reform and its impact are analyzed using a set of archival and published sources. At the beginning of the reform, due to the imprecisely defined assets to be credited, there was a significant increase in short-term loans, which entailed additional money issue. This drawback caused new lending regulations. By continuous adapting the rules to the current situation, the State Bank was regulating the access of industries to borrowed resources.
APA, Harvard, Vancouver, ISO, and other styles
3

Ablaev, E. "Industrial structure of short-term lending in 1928–1935: a quantitative analysis of archival materials of the State Bank of the USSR." In Historical research in the context of data science: Information resources, analytical methods and digital technologies. LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1782.978-5-317-06529-4/6-13.

Full text
Abstract:
The study deals with the transformation of the industrial lending practices in the USSR during the credit reform of the 1930s. The reform and its impact are analyzed using a set of archival and published sources. At the beginning of the reform, due to the imprecisely defined assets to be credited, there was a significant increase in short-term loans, which entailed additional money issue. This drawback caused new lending regulations. By continuous adapting the rules to the current situation, the State Bank was regulating the access of industries to borrowed resources.
APA, Harvard, Vancouver, ISO, and other styles
4

Xiao, Guorong. "Research on Data Processing of Bank Credit System." In 2012 International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2012. http://dx.doi.org/10.1109/csnt.2012.194.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Oral, E. Argun, M. Mustafa Codur, and I. Yucel Ozbek. "Generalized filter bank design for sleep stage classification." In 2017 International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2017. http://dx.doi.org/10.1109/idap.2017.8090175.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

B, Sanjana Reddy, Smitha H B, Priyanka Aryan M P, Shradha Janib, and Vishwesh J. "Bank Authentication for Mobile Payment Services." In 3rd National Conference on Image Processing, Computing, Communication, Networking and Data Analytics. AIJR Publisher, 2018. http://dx.doi.org/10.21467/proceedings.1.32.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ma, Shenglan, Hong Xiao, Botong Xu, Ran Tao, Fangkai Xie, Daicai Zeng, and Tongsen Wang. "Bank Big Data Architecture Based on Massive Parallel Processing Database." In 2018 15th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN). IEEE, 2018. http://dx.doi.org/10.1109/i-span.2018.00024.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Baigonushova, Damira, Saikal Otorova, Junus Ganiev, and Jusup Pirimbaev. "Problems of Development of the Agricultural Sector in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c09.02022.

Full text
Abstract:
The main aim of this study is to identify the main development problems and the affecting factors of the agricultural sector of Kyrgyzstan. In order to achieve the goal, the relationship between the agricultural sector’s export, import, the employment rate and the amount of loans granted to the agricultural sector was analyzed by the ARDL cointegration method. Annual data for the period 1992-2014 was used in the analysis. According to the empirical results, a 1% increase in exports was found to increase agricultural production by 0.23% in the short term, while a 1% increase in the price index of agricultural products would increase production by 0.41%. In the long run it has been revealed that the production of agricultural products is affected by the increase in prices of agricultural products, the employment rate and the exports of agricultural products. The effect of the bank loans is weak. As a result, the state must implement an appropriate pricing policy in order to develop the agricultural sector.
APA, Harvard, Vancouver, ISO, and other styles
9

Karuna, Yepuganti, and G. Ramachandra Reddy. "Design of data dependent filter bank using sequential matrix diagonalization algorithm." In 2016 International conference on Signal Processing, Communication, Power and Embedded System (SCOPES). IEEE, 2016. http://dx.doi.org/10.1109/scopes.2016.7955670.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Sutarto, Tommy Ekamitra. "Photo Electronic Erosion Pin (PEEP) Data Processing for Revealing Stream Bank Retreat." In 2018 International Conference on Applied Science and Technology (iCAST). IEEE, 2018. http://dx.doi.org/10.1109/icast1.2018.8751538.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Bank loans Data processing"

1

Jordà, Òscar, Martin Kornejew, Moritz Schularick, and Alan Taylor. Zombies at Large? Corporate Debt Overhang and the Macroeconomy. Institute for New Economic Thinking Working Paper Series, October 2021. http://dx.doi.org/10.36687/inetwp168.

Full text
Abstract:
What are the macroeconomic consequences of business credit booms? Are they as dangerous as household credit booms? If not, why not? We answer these questions by collecting data on nonfinancial business liabilities (primarily bank loans and corporate bonds) for 17 advanced economies over the past 150 years. Unlike household credit, business credit booms are rarely followed by macroeconomic hangovers. Data on debt renegotiation costs—instrumented by a country’s legal tradition—show that frictions to debt resolution make recessions deeper and longer—an important factor in explaining the differences with household credit booms.
APA, Harvard, Vancouver, ISO, and other styles
2

Morais, Bernardo, Gaizka Ormazabal, José-Luis Peydró, Mónica Roa, and Miguel Sarmiento. Forward Looking Loan Provisions: Credit Supply and Risk-Taking. Banco de la República, April 2021. http://dx.doi.org/10.32468/be.1159.

Full text
Abstract:
We show corporate-level real, financial, and (bank) risk-taking effects associated with calculating loan provisions based on expected—rather than incurred—credit losses. For identification, we exploit unique features of a Colombian reform and supervisory, matched loan-level data. The regulatory change induces a dramatic increase in provisions. Banks tighten all new lending conditions, adversely affecting borrowing-firms, with stronger effects for risky-firms. Moreover, to minimize provisioning, more affected (less-capitalized) banks cut credit supply to risky-firms— SMEs with shorter credit history, less tangible assets or more defaulted loans—but engage in “search-for-yield” within regulatory constraints and increase portfolio concentration, thereby decreasing risk diversification.
APA, Harvard, Vancouver, ISO, and other styles
3

Thomas, Müller. The 1946 - 1956 Hydrographic Data Archive at the Institut für Meereskunde, Kiel, digitized: a data guide. GEOMAR, 2021. http://dx.doi.org/10.3289/geomar_rep_ns_58_2021.

Full text
Abstract:
This report is thought as a guide to early hydrographic log sheets of bottle data obtained by the former Institut für Meereskunde, Kiel (IFMK, now integrated into GEOMAR) in the post-war years 1946 to 1956, and which in summer 2018 when a building used by GEOMAR was to clear were not available in digitized format at GEOMAR. The data mostly were taken by the research cutter FK “Südfall” in the Baltic. It turned out that some of these data from 1950 to 1956 were available in digitized form at the on-line data bank of the International Council for the Exploration of the Sea (ICES). Comparison with the original logged data sheets, however, showed that they needed to be improved w/r to time and position and to be completed by missing data. This report shortly describes the methods of sampling and measuring these old data, and the processing steps applied to improve the data set by using the data log sheets before archiving and submitting the now improved and complete data set to data centres for archiving.
APA, Harvard, Vancouver, ISO, and other styles
4

The Bank at Work - Electronic Data Processing (EDP) Section - 2 August 1967. Reserve Bank of Australia, September 2022. http://dx.doi.org/10.47688/rba_archives_pn-005036.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Bank at Work - Electronic Data Processing (EDP) Section - Punched card area, c. 1968. Reserve Bank of Australia, September 2022. http://dx.doi.org/10.47688/rba_archives_pn-005710.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

The Bank at Work - Electronic Data Processing (EDP) Section - 20 August 1968 (copy b). Reserve Bank of Australia, September 2022. http://dx.doi.org/10.47688/rba_archives_pn-005150.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

The Bank at Work - Head Office - Accounting Department - Electronic Data Processing (EDP) Section - January 1972. Reserve Bank of Australia, September 2022. http://dx.doi.org/10.47688/rba_archives_pn-007426.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

The Bank at Work - Head Office - Accounting Department - Electronic Data Processing (EDP) Section - January 1972. Reserve Bank of Australia, September 2022. http://dx.doi.org/10.47688/rba_archives_pn-007431.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

The Bank at Work - Head Office - Electronic Data Processing (EDP) Section - Kevin Owens operating new computer for Head Office - c.1968. Reserve Bank of Australia, September 2022. http://dx.doi.org/10.47688/rba_archives_pn-004678.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

The Bank at Work - Head Office 65 Martin Place - Electronic Data Processing (EDP) Section gathered around an IBM 360/30 - 20 August 1968. Reserve Bank of Australia, September 2022. http://dx.doi.org/10.47688/rba_archives_pn-005149.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Bank loans Data processing' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography