• 동아시아경상학회지
• /
• 제3권4호
• /
• pp.9-15
• /
• 2015

The exchange rate is a very important macro variable that has influence on the whole economy and has, therefore, been the topic of many discussions amongst policymakers, academics and other economic agents. The issue of whether to have a fixed, pegged or floating exchange rate regime was highly debated during the 1970s. The purpose of this paper is to investigate what factors determine the exchange rate in Somalia. Quantitative research methodology has been employed to develop regression model using time series data for the period of 12 years. The regression model has been developed based on Quantity theory of money, purchasing power parity and uncovered interest rate parity theory. Somalia is on the countries where the highest exchange rate volatility exists; for example in 2012, the rate jumped 29% percent and two weak later dropped 21%, when Turkish humanitarian aid agencies injected the market a lot of U.S dollar. Based on my study using regression model for time series data of 12 years, the four factors are mainly attributable for the exchange rate volatility of Somalia; these factors include the balance of payment, inflation rate, money supply (mostly come from remittance and NGOs) and Bank profits.

• The Journal of Asian Finance, Economics and Business
• /
• 제9권1호
• /
• pp.189-201
• /
• 2022

The study empirically examines the impact of monetary fundamentals along with global oil prices on the Pak-rupee exchange rate using the monthly data over 2001-2020. Employing the cointegrating vector autoregressive with exogenous variables (VARX) and vector error correction model with exogenous variables (VECMX), the study analyzes the impact of domestic monetary fundamentals while considering the foreign variables as weakly exogenous. In order to account for the structural breaks in the data, the Lagrange multiplier (LM) unit root test with two structural breaks has been used (Lee & Strazicich, 2003). The empirical results reveal that the domestic and foreign monetary variables significantly explain the exchange rate movements in Pakistan both in the long run and in the short run. The dynamic properties of the monetary model of exchange rate have been analyzed using the persistence profile analysis and generalized impulse response functions (GIRFs). The results reveal that the responses of shocks to domestic monetary fundamentals are consistent with the predictions of the monetary model of the exchange rate. Furthermore, being a net oil importer, a rise in global oil prices significantly depreciated the Pak-rupee exchange rate over the period of study. The global financial crisis (GFC) and pandemic (COVID-19) were also found to cause the Pak-rupee exchange rate depreciation.

• 예술인문사회 융합 멀티미디어 논문지
• /
• 제7권11호
• /
• pp.71-79
• /
• 2017

본 논문에서는 이기종 컴퓨팅을 활용한 환율 예측 뉴럴 네트워크를 구현했다. 환율 예측에는 많은 양의 데이터가 필요하다. 그에 따라 이러한 데이터를 활용할 수 있는 뉴럴 네트워크를 사용했다. 뉴럴 네트워크는 크게 학습과 검증의 두 과정을 거친다. 학습은 CPU를 활용했다. 검증에는 Verilog HDL로 작성된 RTL을 FPGA에서 동작 시켰다. 해당 뉴럴 네트워크의 구조는 입력 뉴런 네 개, 히든 뉴런 네 개, 출력 뉴런 한 개를 가진다. 입력 뉴런에는 미국 1달러, 일본 100엔, EU 1유로, 영국 1파운드의 원화 가치를 사용했다. 입력 뉴런들을 통해 캐나다 1달러의 원화가치를 예측 했다. 환율을 예측 하는 순서는 입력, 정규화, 고정 소수점 변환, 뉴럴 네트워크 순방향, 부동 소수점 변환, 역정규화, 출력 과정을 거친다. 2016년 11월의 환율을 예측한 결과 0.9원에서 9.13원 사이의 오차 금액이 발생했다. 환율 이외의 다른 데이터를 추가해 뉴런의 개수를 늘린다면 더 정확한 환율 예측이 가능할 것으로 예상된다.

• 제어로봇시스템학회논문지
• /
• 제22권2호
• /
• pp.153-161
• /
• 2016

This paper proposes a bridge model for data exchange and service invocation between OPRoS and ROS platforms, shows the validity of the proposed model via applications, and compares the proposed model with the OPRoS platform and the ROS platform using performance measures such as data exchange time and service response time. The proposed model operates independently of OPRoS and ROS Platforms using its configuration file with mapping information among the OPRoS data/service port and the ROS topic/service. The configuration file makes easy connections between OPRoS data/service and ROS topic/service without changing the source code of the platform and components.

• 한국정밀공학회지
• /
• 제20권10호
• /
• pp.218-225
• /
• 2003

A diagnostic system has been developed which reports modeling errors generated when exchanging CAD data using IGES (Initial Graphics Exchange Specification) format. The system determines whether the CAD data contains errors. It also helps to define the criteria for determining the integrity and interoperability of CAD data with downstream applications of another CAD/CAM/CAE/PDM systems. The methodology of our algorithms is to analyze IGES model data by identifying errors and anomalies with respect to the diagnosis of geometry and topology. The GUI (Graphic User Interface) of the developed system helps users to input values and to visualize diagnostic results at real time.

• Journal of the Korean Data and Information Science Society
• /
• 제18권2호
• /
• pp.345-356
• /
• 2007

This study deals with an early detection problem of structural change in won/dollar exchange market. A CUSUM algorithm is developed to monitor relevant economic variables indicating structural change in won/dollar exchange market. We applied the CUSUM algorithm to examine whether or not it was possible to alarm the 1997 economic crisis of Korea in advance.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권11호
• /
• pp.629-636
• /
• 2020

This study aims to identify and analyze the factors that affect foreign exchange reserves in Indonesia. We consider the variables of external debt, exchange rate, inflation, and exports as explanatory factors referring to previous studies. We apply the Autoregressive Distributed Lag approach to time-series data retrieved from the Central Bank of Indonesia (BI), the Central Bureau of Statistics (BPS), and International Monetary Funds (IMF) from January 2016 to December 2018. Our results show that foreign debt, exchange rates, inflation, and exports significantly affect the simultaneous fluctuation of foreign exchange reserves in Indonesia. Partially, foreign debt has a significant and positive effect on foreign exchange reserves. The exchange rate has a significant and negative effect on foreign exchange reserves in Indonesia. However, our findings explain that inflation does not significantly affect foreign exchange reserves in Indonesia, and exports have a significant and positive effect on foreign exchange reserves. This study is expected to be useful to policymakers in managing foreign exchange reserves, so the economy of Indonesia can grow sustainably. One of the exciting things in this study lies in the model that uses the Autoregressive Distributed Log, which can explain long-term relationships through adjusted coefficient and cointegration tests.

• The Journal of Asian Finance, Economics and Business
• /
• 제9권2호
• /
• pp.37-47
• /
• 2022

This study uses monthly data from January 2009 to December 2020 to examine the effectiveness of foreign currency intervention and its influence on monetary policy in Vietnam using a Hierarchical Bayesian VAR model. The findings suggest that foreign exchange intervention has little influence on the exchange rate level or exports, but it can significantly minimize exchange rate volatility. As a result, we can demonstrate that the claim that Vietnam is a currency manipulator is false. As well, the forecast error variance decomposition results reveal that interest rate differentials mainly determine the exchange rate level instead of foreign exchange intervention. Moreover, the findings suggest that foreign exchange intervention is not effectively sterilized in Vietnam. Inflation is caused by an increase in international reserves, which leads to an expansion of the money supply and a decrease in interest rates. Although the impact of foreign exchange intervention grows in tandem with the growth of international reserves, if the sterilizing capacity does not improve, rising foreign exchange intervention will instead result in inflation. Finally, we use a rolling window approach to examine the time-varying effect of foreign exchange intervention.

• 인터넷정보학회논문지
• /
• 제23권6호
• /
• pp.59-69
• /
• 2022

효과적인 전장상황 인식 및 지휘결심을 위해서는 체계 간의 솔기없는 정보교환이 핵심적이다. 그러나 각 체계는 각자의 목적에 맞게 독립적으로 개발되었기 때문에, 효과적으로 정보를 교환하기 위해서는 체계 간 상호운용성을 보장하여야 한다. 우리 군의 경우 데이터 교환을 위한 공통 메시지 포맷을 활용함으로써 문법적 상호운용성(Syntactic interoperability)을 보장하고 있다. 그러나 단순히 교환되는 데이터의 형식을 표준화하는 것으로는 체계 간 상호운용성을 충분히 보장할 수 없다. 현재 미국과 NATO에서는 데이터 교환 형식을 보장하는 데에서 더 나아가 의미적 상호운용성(Semantic interoperability)을 달성하기 위해 정보교환모델을 개발·활용하고 있다. 정보교환모델은 공통 어휘(Common vocabulary) 또는 참조 모델(Reference model)로, 체계 간에 정보 교환을 내용적·의미적인 수준에서 보장하기 위해 활용된다. 미국에서 개발·활용하는 정보교환모델은 초기에는 전장상황과 직접 관련된 정보를 교환하는 데에 초점을 맞추었으나, 이후 각 정부 부처 및 민간 기관이 함께 활용할 수 있는 범용적인 형태로 발전되었다. 반면 NATO의 경우 이에 속한 각 국가의 군 간 연합 작전을 수행하는 데에 필요한 개념을 엄격히 표현하는 데에 초점을 맞추었으며, 모델의 범위 역시 지휘통제에 관련된 개념으로 한정되었다. 본 논문에서는 미국과 NATO에서 개발·활용하였던 정보교환모델의 개발 배경, 목적 및 특성을 식별하였고, 이들의 비교분석을 수행하였다. 이를 통해 추후 한국형 정보교환모델 개발 시 시사점을 제시하고자 한다.

• 통상정보연구
• /
• 제8권4호
• /
• pp.159-175
• /
• 2006

This paper that explain exchange rate determination using Korea's economy data moment investigate whether each theory cause effect that is some on exchange rate showdown analyzing actual proof relation between foreign exchange fluctuation and financing part variance examine wish to. Because korea economic enters in the 1990s and the 2000s and the change is notable, foreign exchange fluctuation by such change is real condition that is changing. In this paper, I wish to enforce actual proof analysis if change such as him is grasped by form that is some about foreign exchange fluctuation. First, the second chapter investigates exchange rate decision theory that is used on actual proof interpretation, and executes actual proof Test in reply in subsequent the third chapter. And finally, the fourth chapter wishes to drive conclusion of this paper.