Liquidity Saving Mechanisms in Payment Systems and Settlement Liquidity

2016 ◽  
Vol 7 (4) ◽  
pp. 23-45
Author(s):  
Masashi Nakajima

Payment systems are one of the key Financial Market Infrastructures (FMIs) and have showed remarkable progress over the past two decades. The first half of this paper focuses on the evolutionary process of payment systems, starting with the Deferred Net Settlement (DNS) system and progressing to the Real-Time Gross Settlement (RTGS) system. Subsequently, much more sophisticated payment systems have been put in place, which include the “Hybrid System,” and the “RTGS system with Liquidity Saving Mechanism (LSM).” In the latter half of this paper, experience from the “Next-Generation Real-Time Gross Settlement” (RTGS-XG) project of BOJ-NET is discussed. BOJ-NET is the large-value payment system operated by Bank of Japan (BOJ). BOJ-NET, a pure RTGS system, added an LSM in 2008 and became an RTGS system with LSM. The impact of the LSM's introduction is analyzed, which includes the participants' settlement liquidity, the liquidity-saving effect, the average settlement time, the average waiting time in the queue, the turnover ratio, and the volume of idle liquidity. These analyses would be useful for any nations considering the introduction of the same kind of enhanced payment system.

Author(s):  
Masashi Nakajima

Payment systems are one of the key Financial Market Infrastructures (FMIs) and have showed remarkable progress over the past two decades. The first half of this chapter focuses on the evolutionary process of payment systems, starting with the Deferred Net Settlement (DNS) system and progressing to the Real-Time Gross Settlement (RTGS) system. Subsequently, much more sophisticated payment systems have been put in place, which include the “Hybrid System,” and the “RTGS system with Liquidity Saving Mechanism (LSM).” In the latter half of this chapter, experience from the “Next-Generation Real-Time Gross Settlement” (RTGS-XG) project of BOJ-NET is discussed. BOJ-NET is the large-value payment system operated by Bank of Japan (BOJ). BOJ-NET added an LSM in 2008 and became an RTGS system with LSM. The impact of the LSM's introduction is analyzed, which includes the liquidity-saving effect, the average waiting time in the queue, the turnover ratio, and the volume of idle liquidity.


2020 ◽  
Vol 17 (3) ◽  
pp. 25-36
Author(s):  
M. I. Lugachev ◽  
N. V. Ulianova ◽  
K. G. Skripkin

The purpose of the article is to theoretically prove the possibility of generating forecast information in the balance-sheet regarding profit indicators, net inflow of operating money and financial capital. According to the authors, the system of these indicators is revealed in dynamics, thus reflecting the impact of profit on the financial condition of the organization. A logical and accounting balance-sheet relationship is established between actual and forecast indicators that characterize the financial condition in the past and future. By analyzing the processes in the operating cycle, the economic and financial feasibility of operating profit as a net cash flow from operating activities is theoretically proved. Based on the process approach and the induction method, the indicator of operating profit is included in the valuation of the asset and liability side of the balance-sheet, thereby developing the valuation method and forming a new forecast model of balance-sheet generalizations. The content of the forecast model of balance is described in the form of a balance equation. The obtained theoretical conclusions are verified experimentally.As a result, the asset of the balance-sheet reflects the process of transforming the value of operational resources into their selling price, and the forecast operating profit is generated in the liability side of the balance-sheet, which relates to assets and liabilities recognized in accounting at the current time. Cost parameter and value index are introduced, which characterize the indicators of income and expenses as the transformation of operational resources. Any change in the cost of resources used and the possible price (value) of their sale is reflected in the balance-sheet and affects the change in the estimate of forecast operating profit in real time. At the same time, due to the simultaneous recognition in the balance-sheet of actual and forecast estimates of assets and liabilities and the indicator of forecast operating profit, the indicator of financial capital receives a new interpretation. If we compare the value of assets and accounts payable, then financial capital characterizes the security of operating activities with own sources of financing in the past. If we compare the selling price of assets and account payable, then financial capital shows the forecast for repayment of account payable at the expense of own funds in the future. Consequently, the transition from actual to forecast estimates in the balance-sheet reveals the process of the circulation of operating capital and shows how much profit is provided by investments in working stocks made in the past. Due to the double recording method, any forecast estimates can be verified by the user, which increases the reliability of the forecast information in the balance-sheet.In fact, the balance-sheet is interpreted as a new method of analysis and forecasting of financial and economic indicators characterizing the activities of the organization. At the same time, it is not necessary to perform additional analytical calculations, forecast operating profit and analysis of its impact on financial capital can be carried out in real time as often as accounting entries are made that affect the change in working capital.


Author(s):  
Prof. Sushma Laxman Wakchaure ◽  
Shinde Bipin Balu ◽  
Bhabad Vasant M. ◽  
Dnyandev S. Musale ◽  
Supriya S. Burhade

Blockchain is a system of recording information in a way that makes it difficult or impossible to change, hack, or cheat the system. You have probably heard of Blockchain in the past few years, mostly in the context of crypto currency. However, Blockchain has grown to have several different applications. The significant part about Blockchain is that it is never under the complete control of a single entity due to being entirely consensus-driven. It can never change the data you store in the Blockchain used widely in sharing medical data in the healthcare industry. Due to the security that Blockchain provides, this data can be shared among parties seamlessly. Another application of Blockchain is in maintaining the integrity of payment systems. Blockchain-based payment systems are immune to external attacks and theft. Blockchain can also be used in tracking the status of products in a supply chain in real-time.


Author(s):  
Biliana Alexandrova-Kabadjova ◽  
Liliana Garcia-Ochoa ◽  
Ronald Heijmans ◽  
Antoaneta Serguieva

In this chapter, the authors present a methodology to study the flow of funds in large-value payment systems (LVPSs). The algorithm presented differentiates the flow of payments into two categories: 1) external funds, i.e. funds transferred from other financial market infrastructures (FMIs) or provided by the central bank, and 2) the reuse of incoming payments within the same FMI. Using individual transaction data, the algorithm evaluates to what extent incoming payments are used to cover obligations. The method also studies the flow of intraday liquidity under the framework of its provision within Mexican FMIs. The aim is to evaluate the impact of intraday liquidity provision, and understand how liquidity is transmitted to participants in the Mexican Large Value Payment System, or SPEI®.


Author(s):  
Biliana Alexandrova-Kabadjova ◽  
Francisco Solís-Robleda

The present chapter calculates the liquidity usage of the Mexican Real Time Settlement Payment System, SPEI, during a one month period. In particular, the authors’ interest is to give insight about how payment systems participants manage the settlement of low and large value payment transactions in real-time. To that end, they create an artificial environment, in which they use historical data from April 7 to May 7, 2010, and reproduce the operational conditions of SPEI. All payment instructions that arrived from 9:00 a.m. to 17:00 p.m. each working day are included. For each of these days, the authors arrange the transactions in four sets, delimited according to their value: all payments; payment orders with value higher than 100,000 MXN; transactions with value higher than 1,000,000 MXN; and payments with value higher than 10,000,000 MXN. The authors use a simulation environment to reproduce SPEI’s operational conditions in order to measure the liquidity usage in different settings of settlement speed requirements.


Author(s):  
Matu Mugo ◽  
Kilonzo Evelyne ◽  
Anne W. Mariga

Over the past 50 years, Kenya’s payments and banking systems have undergone both incremental and revolutionary modifications that have transformed Kenya’s financial landscape, from cash transactions to digital finance ecosystems. M-PESA, rolled out in 2007, undoubtedly has earned its place in Kenya’s Hall of Fame. The developments in the payments system have culminated in a more accessible, effective and efficient Kenyan payment system. This chapter tells the M-PESA story from the lens of a regulator, from conception to the eventual launch in March 2007. More importantly, the chapter tells other understated stories of payments and related banking sector innovations that have seen the level of financial inclusion in Kenya triple from 26 per cent in 2006 to over 75 per cent in 2016. The chapter provides lessons learnt in this transformational journey, one being the need for regulators to understand the business models underpinning innovations, risks thereon, and their mitigating factors.


2021 ◽  
Vol 25 (2) ◽  
pp. 61-81
Author(s):  
Kayode S. Adekeye ◽  
◽  
Kelvin E. Igwe ◽  
Olaniyi M. Olayiwola ◽  
◽  
...  

This study examined the impact of electronic payment system on the profitability of commercial banks in Nigeria. Pooled OLS and Panel regression models were fitted on the data extracted from the banks’ annual reports, Nigerian interbank settlement scheme, and central bank of Nigeria website. The assessment of the contribution of the various electronic payment systems considered were measured using Breusch and Pagan Lagrangian Multiplier (LM) Test, the Hausman Test, Stationarity Test, The Schwarz Criterion, and the Akaike Information Criterion. Results obtained showed that the random effect model was more appropriate than the fixed effect model for all the electronic payment systems considered in this study. Furthermore, it was discovered that there exists a positive relationship between the electronic payment systems and profitability of the commercial banks in Nigeria.


2011 ◽  
Vol 49 (1) ◽  
pp. 72-100 ◽  
Author(s):  
Dean Croushore

In the past ten years, researchers have explored the impact of data revisions in many different contexts. Researchers have examined the properties of data revisions, how structural modeling is affected by data revisions, how data revisions affect forecasting, the impact of data revisions on monetary policy analysis, and the use of real-time data in current analysis. This paper summarizes many of the questions for which real-time data analysis has provided answers. In addition, researchers and institutions have developed better real-time data sets around the world. Still, additional research is needed in key areas and research to date has uncovered even more fruitful areas worth exploring. (JEL C52, C53, C80, E01)


Author(s):  
Alexandros Kaliontzoglou ◽  
Alexander Pascal Müller

Timing analysis in an RTGS payment system offers input to operators, overseers and supervisors about the behavior of the system or individual participants. Timing related indicators can be used as a monitoring tool to identify liquidity circulation problems. Study of the behavior of participants may help identify changes due to business practices shifts, reactions to unexpected events or even to various types of stress. Furthermore, the indicators can be used in simulation studies, where the impact to timing of different levels of induced stress to a system or changes of its institutional features may be measured and compared. This chapter explores the experiences and challenges while setting up and evaluating two payments timing indicators for the European RTGS TARGET2. The indicators are the “value weighted average settlement time” as well as a form of payments “delay” indicator. The goal is to present specific aspects of a methodological framework for implementing such indicators, for possible replication based on granular transaction level data of other RTGS payment systems.


2010 ◽  
Vol 365 (1547) ◽  
pp. 1815-1823 ◽  
Author(s):  
Kirsten Bomblies ◽  
Detlef Weigel

The past few years have seen considerable advances in speciation research, but whether drift or adaptation is more likely to lead to genetic incompatibilities remains unknown. Some of the answers will probably come from not only studying incompatibilities between well-established species, but also from investigating incipient speciation events, to learn more about speciation as an evolutionary process. The genus Arabidopsis , which includes the widely used Arabidopsis thaliana , provides a useful set of model species for studying many aspects of population divergence. The genus contains both self-incompatible and incompatible species, providing a platform for studying the impact of mating system changes on genetic differentiation. Another important path to plant speciation is via formation of polyploids, and this can be investigated in the young allotetraploid species A. arenosa . Finally, there are many cases of intraspecific incompatibilities in A. thaliana , and recent progress has been made in discovering the genes underlying both F 1 and F 2 breakdown. In the near future, all these studies will be greatly empowered by complete genome sequences not only for all members of this relatively small genus, but also for many different individuals within each species.


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