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ESTABLISHMENT OF CDM PROJECT ADDITIONALITY THROUGH ECONOMIC INDICATORS

  • Kai. Li.;Robert Tiong L. K.;Maria Balatbat ;David Carmichael
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.272-275
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    • 2009
  • Carbon finance is the investment in Greenhouse Gas (GHG) emission reduction projects in developing countries and countries with economies in transition within the framework of the Kyoto Protocol's Clean Development Mechanism (CDM) or Joint Implementation (JI) and with creation of financial instruments, i.e., carbon credits, which are tradable in carbon market. The additional revenue generated from carbon credits will increase the bankability of projects by reducing the risks of commercial lending or grant finance. Meantime, it has also demonstrated numerous opportunities for collaborating across sectors, and has served as a catalyst in bringing climate issues to bear in projects relating to rural electrification, renewable energy, energy efficiency, urban infrastructure, waste management, pollution abatement, forestry, and water resource management. Establishing additionality is essential for successful CDM project development. One of the key steps is the investment analysis. As guided by UNFCCC, financial indicators such as IRR, NPV, DSCR etc are most commonly used in both Option II & Option III. However, economic indicator such as Economic Internal Rate of Return(EIRR) are often overlooked in Option III even it might be more suitable for the project. This could be due to the difficulties in economic analysis. Although Asian Development Bank(ADB) has given guidelines in evaluating EIRR, there are still large amount of works have to be carried out in estimating the economic, financial, social and environmental benefits in the host country. This paper will present a case study of a CDM development of a 18 MW hydro power plant with carbon finance option in central Vietnam. The estimation of respective factors in EIRR, such as Willingness to Pay(WTP), shadow price etc, will be addressed with the adjustment to Vietnam local provincial factors. The significance of carbon finance to Vietnam renewable energy development will also be addressed.

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Forecasting Korean CPI Inflation (우리나라 소비자물가상승률 예측)

  • Kang, Kyu Ho;Kim, Jungsung;Shin, Serim
    • Economic Analysis
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    • v.27 no.4
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    • pp.1-42
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    • 2021
  • The outlook for Korea's consumer price inflation rate has a profound impact not only on the Bank of Korea's operation of the inflation target system but also on the overall economy, including the bond market and private consumption and investment. This study presents the prediction results of consumer price inflation in Korea for the next three years. To this end, first, model selection is performed based on the out-of-sample predictive power of autoregressive distributed lag (ADL) models, AR models, small-scale vector autoregressive (VAR) models, and large-scale VAR models. Since there are many potential predictors of inflation, a Bayesian variable selection technique was introduced for 12 macro variables, and a precise tuning process was performed to improve predictive power. In the case of the VAR model, the Minnesota prior distribution was applied to solve the dimensional curse problem. Looking at the results of long-term and short-term out-of-sample predictions for the last five years, the ADL model was generally superior to other competing models in both point and distribution prediction. As a result of forecasting through the combination of predictions from the above models, the inflation rate is expected to maintain the current level of around 2% until the second half of 2022, and is expected to drop to around 1% from the first half of 2023.

Import Demand in Developed Economies & Korean Exports (선진국 수입수요가 우리나라 수출에 미치는 영향)

  • Choi, Moon Jung;Kim, Kyung Kuen
    • Economic Analysis
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    • v.25 no.1
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    • pp.34-65
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    • 2019
  • This paper investigates the effects on Korean exports of demand in developed economies, and how these effects have changed since the global financial crisis. As a measure of import demand, we use import intensity-adjusted demand to take into account heterogenous import intensities across components of aggregate demand. Our estimation of a dynamic panel regression model reveals that Korea's exports to the G7 countries were elastic with respect to the import demand of these countries until the global financial crisis, but have shifted to become inelastic since. Furthermore, we separately estimate the effects of the different components of the G7 countries' aggregate demand (private consumption, public consumption, investment and exports). The results show that the decrease in private consumption in the G7 countries during the crisis had a significant impact in causing the decline in Korea's exports to them, but that the increase in their public consumption since the crisis has had a significant effect on driving increased Korean exports to them. The effects of the G7 countries' exports on Korea's exports to them remain positive and significant during both the pre- and post-crisis periods. The effects of the G7 countries' investments on Korea's exports are also positive and significant, but the positive effect has weakened since the crisis. Our findings suggest that the overall effect of changes in the G7 countries' import demand on Korea's exports to them has weakened compared to the pre-crisis period.

Determinants Influencing Information Transparency in Vietnamese Commercial Banks

  • NGUYEN, Minh Phuong;NGUYEN, Thi Hong Hai;HOANG, Phuong Dung;TRAN, Manh Dung;PHAM, Quang Trung
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.895-907
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    • 2020
  • Information transparency ensures that market players all have the opportunity to access the same information to come up with their assessment of the banks' financial situation, performance and risks to reach effective investment decisions. This research is conducted to investigate the levels of impact of determinants on information transparency by examining the case studies of Vietnamese commercial banks. This study combines both qualitative and quantitative research methods, based on interviews of 32 specialists in banking, accounting and auditing fields, which were conducted to explore determinants influencing information transparency and to develop measurement scales. Then, a survey of 160 managers of commercial banks, audit firms, and accounting managers of firms who frequently had transactions with banks was carried out to investigate the statistical significance of these determinants. The results show that, out of seven determinants that have significant impacts on the banks' information transparency, commitment from banks' senior management regarding transparency in information disclosure has the highest impact, followed by state governance, auditing, information infrastructure, credit rating agencies, personnel and bank performance. Accordingly, we provide some recommendations for improving information transparency in the Vietnamese banking industry context as a case study and in emerging countries context in general.

Neural Network Analysis in Forecasting the Malaysian GDP

  • SANUSI, Nur Azura;MOOSIN, Adzie Faraha;KUSAIRI, Suhal
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.109-114
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    • 2020
  • The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia's growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.

Does ODA Improve the Business Climate of Low and Middle Income Countries? (공적개발원조(ODA)가 개발도상국가의 창업/금융 환경을 개선시킬 수 있는가?)

  • Jun, Sung Hee
    • International Commerce and Information Review
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    • v.17 no.2
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    • pp.69-93
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    • 2015
  • Developing countries including poor countries cannot accumulate enough domestic saving and government budget for their industrialization. They need to finance the capital for development from abroad sources; foreign direct investment (FDI) and official development assistance (ODA). The developing countries can improve their business climate for more ODA. This paper examines whether ODA improve the business climate of developing countries. In this paper, the business climate are measured by the starting business scores and the scores of credit and protecting investor in Doing Business project of World Bank. According to the empirical result, ODA has significant effect on the starting business scores for low and lower middle income countries, but insignificant effect for upper middle countries. In the case of the scores of credit and protecting investor, ODA has significant effect only for lower middle income countries.

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Analyzing Fluctuation of the Rent-Transaction price ratio under the Influence of the Housing Transaction, Jeonse Rental price (주택매매가격 및 전세가격 변화에 따른 전세/매매가격비율 변동 분석)

  • Park, Jae-Hyun;Lee, Sang-Hyo;Kim, Jae-Jun
    • Journal of The Korean Digital Architecture Interior Association
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    • v.10 no.2
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    • pp.13-20
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    • 2010
  • Uncertainty in housing price fluctuation has great impact on the overall economy due to importance of housing market as both place of residence and investment target. Therefore, estimating housing market condition is a highly important task in terms of setting national policy. Primary indicator of the housing market is a ratio between rent and transaction price of housing. The research explores dynamic relationships between Rent-Transaction price ratio, housing transaction price and jeonse rental price, using Vector Autoregressive Model, in order to demonstrate significance of shifting rent-transaction price that is subject to changes in housing transaction and housing rental market. The research applied housing transaction price index and housing rental price index as an indicator to measure transaction and rental price of housing. The price index and data for price ratio was derived from statistical data of the Kookmin Bank. The time-series data contains monthly data ranging between January 1999 and November 2009; the data was log transformed to convert to level variable. The analysis result suggests that the rising ratio between rent-transaction price of housing should be interpreted as a precursor for rise of housing transaction price, rather than judging as a mere indicator of a current trend.

The worldwide trend of using botanical drugs and strategies for developing global drugs

  • Ahn, Kyungseop
    • BMB Reports
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    • v.50 no.3
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    • pp.111-116
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    • 2017
  • Natural product drugs, or botanical drugs, are drugs composed of natural substances which have constituents with healthenhancing or medicinal activities. In Korea, government-led projects brought attention to botanical drugs invigorating domestic botanical drug industry. Foreign markets, as well, are growing bigger as the significance of botanical drugs stood out. To follow along with the tendency, Korea puts a lot of effort on developing botanical drugs suitable for global market. However, standards for approving drug sales vary by countries. And also, thorough standardization, certification, clinical studies and data of these will be required as well as data confirming safety and effectiveness. Meanwhile, as an international exchange in botanical drug market continues, the importance of plant resources was emphasized. Thus countries' ownership of domestic natural resources became vital. Not only establishing a systematic method to secure domestic plant resources, but also cooperation with other countries on sharing natural resources is essential to procure natural resources effectively. Korea started to show visible results with botanical drugs, and asthma/COPD treatment made out of speedwell is one example. Sufficient investment and government's active support for basic infrastructure for global botanical drugs will bring Korea to much higher level of botanical drug development.

R&D Expenditure, International Trade and Economic Growth: Korea's Experience

  • Yi, Myung-Hoon;Mah, Jai-Shin
    • Journal of Distribution Science
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    • v.14 no.3
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    • pp.39-44
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    • 2016
  • Purpose - The purpose of this research is to investigate whether Korea's economic growth can be explained by the endogenous growth theory. Specifically, we test whether R&D expenditure has a positive and significant effect on the economic growth. Research design, data, and methodology - We hypothesize that R&D expenditure has a positive effect on the economic growth after adding control variables in the growth equation. Korean annual data from 1963 to 2011 from Science and Technology Annual of the Ministry of Education, Science and Technology, the Bank of Korea, etc. are used. We estimate the growth equation by GMM in addition to OLS. Results - We found that R&D expenditure has a positive and significant effect on the economic growth after adding the ratio of investment to GDP, the ratio of FDI to GDP, the ratio of government expenditure to GDP, inflation and the ratio of trade openness to GDP as control variables in the growth equation. Conclusions - Our results show that Korea's rapid economic growth for the past five decades can be explained by the R&D-based endogenous economic growth theory. Our results suggest that the policy attention of the Korean government be paid to R&D promotion.

The Impact of Operating Cash Flows on Financial Stability of Commercial Banks: Evidence from Pakistan

  • ELAHI, Mustahsan;AHMAD, Habib;SHAMAS UL HAQ, Muhammad;SALEEM, Ali
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.11
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    • pp.223-234
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    • 2021
  • This study aims to examine whether operating cash flows influence banks' financial stability in Pakistan. The study employed annual panel data collected from annual reports of 20 commercial banks listed on the Pakistan Stock Exchange for the year 2011 to 2019. Free cash flow yield was taken as the dependent variable while cash flow ratio was selected as the independent variable, and net interest margin, income diversification, asset quality, financial leverage, the cost to income ratio, advance net of provisions to total assets ratio, capital ratio, financial performance, breakup value per share and bank size were taken as control variables. The study performed ordinary least square technique, random and fixed effects models, Hausman test, Lagrange multiplier test, descriptive and correlation analysis. Results showed that operating cash flows and net interest margin significantly and positively influenced banks' financial stability while the cost to income ratio and advances net of provisions to total assets ratio significantly and negatively associated with banks' financial stability. To improve financial stability, banks should become more cost-effective and enhance their liquidity levels by lowering lending activities. In the future, it would be useful to compare commercial and investment banks, also Islamic and conventional banks in the same research setting.