3,436 research outputs found

    New firm formation and industry growth - does having a market- or bank-based system matter?

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    The authors find no evidence for the superiority of either market-based or bank-based financial systems for industries dependent on external financing. But they find overwhelming evidence that industries heavily dependent on external finance grow faster in economies with higher levels of financial development, and with better legal protection for outside investors - including strong creditor and shareholder rights and strong contract enforcement mechanisms. Financial development also stimulates the establishment of new firms, which is consistent with the Schumpeterian view of creative destruction. Financial development matters. That the financial system is bank-based on market-based offers little additional information.Fiscal&Monetary Policy,Payment Systems&Infrastructure,Banks&Banking Reform,Economic Theory&Research,Decentralization,Financial Economics,Economic Theory&Research,Achieving Shared Growth,Banks&Banking Reform,Governance Indicators

    Industry growth and capital allocation: Does having a market- or bank-based system matter?.

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    [Dataset available: http://hdl.handle.net/10411/12979]

    The effects of trade liberalization on productive efficiency: some evidence from the electrical industry in Cameroon

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    ๊ตญ์ œ์ •์น˜์  ๊ฐˆ๋“ฑ์ด ๋‚จ๋ถํ•œ ๊ฒฝ์ œ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ: ์ฃผ์‹ ์‹œ์žฅ๊ณผ ๋ฌด์—ญ์— ๋Œ€ํ•œ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์‚ฌํšŒ๊ณผํ•™๋Œ€ํ•™ ๊ฒฝ์ œํ•™๋ถ€,2020. 2. ๊น€๋ณ‘์—ฐ.๋ณธ ๋…ผ๋ฌธ์€ ๊ตญ์ œ์ •์น˜์  ๊ฐˆ๋“ฑ์˜ ๊ฒฝ์ œ์  ์˜ํ–ฅ์— ๋Œ€ํ•ด ๋‚จ๋ถํ•œ์˜ ์‚ฌ๋ก€๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์‚ดํŽด๋ณธ๋‹ค. ํŠนํžˆ ๋ถํ•œ ๊ด€๋ จ ๋ฆฌ์Šคํฌ๊ฐ€ ๋‚จํ•œ์˜ ์ฃผ์‹ ์‹œ์žฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๊ณผ ๊ฒฝ์ œ ์ œ์žฌ๊ฐ€ ๋ถํ•œ์˜ ๋ฌด์—ญ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ์ฃผ๋ชฉํ•˜์˜€๋‹ค. ์ „์ฒด ๋…ผ๋ฌธ์€ ๊ฐœ๋ณ„์ ์ธ ์†Œ์ฃผ์ œ๋ฅผ ๋‹ค๋ฃจ๋Š” ์„ธ ํŽธ์˜ ์‹ค์ฆ ์—ฐ๊ตฌ๋กœ ๊ตฌ์„ฑ๋œ๋‹ค. ์ฒซ ๋ฒˆ์งธ ์žฅ์—์„œ๋Š” ๋‚จํ•œ์˜ ๊ธฐ์—… ์ฃผ๊ฐ€ ์ˆ˜์ต๋ฅ ์ด ๋ถํ•œ ๋ฆฌ์Šคํฌ์— ์–ด๋–ป๊ฒŒ ๋ฐ˜์‘ํ•˜๋Š”์ง€ ๋ถ„์„ํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๋‚จํ•œ ์–ธ๋ก ์˜ ๋ถํ•œ ๊ด€๋ จ ๋ณด๋„ ์ž๋ฃŒ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์›”๋ณ„ ๋ถํ•œ ๋ฆฌ์Šคํฌ ์ง€์ˆ˜๋ฅผ ์ž‘์„ฑํ•˜์˜€๋‹ค. ์ด ์ง€์ˆ˜๋Š” ๋‚จ๋ถ ๊ด€๊ณ„์˜ ๊ธด์žฅ์ด ํ™•๋Œ€๋˜๊ฑฐ๋‚˜ ์™„ํ™”๋˜๋Š” ๊ฒฝ์šฐ ์–ธ๋ก ๋ณด๋„์— ๋“ฑ์žฅํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋˜๋Š” ํ‚ค์›Œ๋“œ๋ฅผ ํฌํ•จํ•œ ๊ธฐ์‚ฌ์˜ ๋นˆ๋„์ˆ˜๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์‚ฐ์ถœ๋œ๋‹ค. 1999~2018๋…„์˜ ์–ธ๋ก  ๋ณด๋„์ž๋ฃŒ๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๋ถํ•œ ๋ฐœ ๋ฆฌ์Šคํฌ๋Š” ํ•ต/๋ฏธ์‚ฌ์ผ ์‹คํ—˜, ๊ตฐ์‚ฌ๋„๋ฐœ ๋“ฑ ์ด๋ฒคํŠธ ์‹œ์ ์— ๊ธ‰์ฆํ•˜๋ฉฐ, ๋ฐ˜๋Œ€๋กœ ์ •์ƒํšŒ๋‹ด, 6์ž ํšŒ๋‹ด ๋“ฑ ๋Œ€ํ™”์˜ ์‹œ๊ธฐ์—๋Š” ๊ฐ์†Œํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ธฐ์—… ์ฃผ๊ฐ€ ์ˆ˜์ต๋ฅ ์„ ์ข…์†๋ณ€์ˆ˜๋กœ ํ•œ ํšŒ๊ท€ ๋ถ„์„์—์„œ๋Š” ๊ตญ๋‚ด ํˆฌ์ž์ž์˜ ์ฃผ์‹ ๋ณด์œ  ๋น„์œจ์ด ๋†’์€ ๊ธฐ์—…์ผ์ˆ˜๋ก, ์ž์‚ฐ ๊ทœ๋ชจ๊ฐ€ ํฌ๊ณ  ๊ณ ์ •์ž์‚ฐ์˜ ๋น„์ค‘์ด ๋†’์€ ๊ธฐ์—…์ผ์ˆ˜๋ก, ๋‚จ๋ถ๊ฒฝํ˜‘์— ๊ด€์—ฌํ•œ ๊ฒฝํ—˜์ด ์žˆ๋Š” ๊ธฐ์—…์ผ์ˆ˜๋ก ๋ถํ•œ ๊ด€๋ จ ๋ฆฌ์Šคํฌ์— ๋ฏผ๊ฐํ•˜๊ฒŒ ๋ฐ˜์‘ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‘ ๋ฒˆ์งธ ์žฅ์—์„œ๋Š” ๋ถํ•œ์— ๋ถ€๊ณผ๋œ ์ฃผ์š” ๊ฒฝ์ œ ์ œ์žฌ๊ฐ€ ๋ฌด์—ญ์— ์ค€ ์˜ํ–ฅ์„ ๋ฌด์—ญ์˜ ์งˆ์  ์ธก๋ฉด์„ ์ค‘์‹ฌ์œผ๋กœ ๋ถ„์„ํ•œ๋‹ค. ์šฐ์„  1998~2018๋…„์˜ ๋ถํ•œ-์ค‘๊ตญ ๊ฐ„ ๋ฌด์—ญ์„ ์™ธ์—ฐ์  ํ™•์žฅ ์ˆ˜์ค€(extensive margin), ์ƒ๋Œ€ ๊ฐ€๊ฒฉ(relative unit price), ๋ฌผ๋Ÿ‰(quantity)์œผ๋กœ ๋ถ„ํ•ดํ•˜๊ณ , ์ด ์ค‘ ๋ฌด์—ญ์˜ ์งˆ์  ์ธก๋ฉด์œผ๋กœ ๋ณผ ์ˆ˜ ์žˆ๋Š” ์™ธ์—ฐ์  ํ™•์žฅ ์ˆ˜์ค€๊ณผ ์ƒ๋Œ€ ๊ฐ€๊ฒฉ ์ง€์ˆ˜์˜ ๋ณ€ํ™”์— ์ฃผ๋ชฉํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด, ๋ถํ•œ์˜ ๋Œ€์ค‘ ์ˆ˜์ถœ์ด ์ง€๋‚œ 20๋…„๊ฐ„ ์–‘์ ์œผ๋กœ ์„ฑ์žฅํ•˜์˜€์„ ๋ฟ ์งˆ์ ์œผ๋กœ๋Š” ์ •์ฒด๋˜์–ด ์žˆ๊ฑฐ๋‚˜ ์˜คํžˆ๋ ค ํ›„ํ‡ดํ–ˆ๋‹ค๋Š” ์‚ฌ์‹ค์„ ํ™•์ธํ•˜์˜€๋‹ค. ํšŒ๊ท€๋ถ„์„์—์„œ๋Š” ๋ถํ•œ์˜ ๋ฌด์—ญ์„ ์ง์ ‘์ ์œผ๋กœ ํƒ€๊ฒฉํ•˜๊ณ ์ž ํ•œ ํ•œ๊ตญ๊ณผ ์ผ๋ณธ์˜ ๋…์ž ์ œ์žฌ ๋ฐ 2017๋…„ UN์•ˆ๋ณด๋ฆฌ์—์„œ ๊ฒฐ์˜๋œ ๋‹ค์ž ์ œ์žฌ๋ฅผ ํ•ต์‹ฌ ์„ค๋ช… ๋ณ€์ˆ˜๋กœ ์„ค์ •ํ•˜์˜€๊ณ , ๋ถ„์„ ๋ฐฉ๋ฒ•์œผ๋กœ๋Š” ์ „๊ธฐ ์ข…์† ๋ณ€์ˆ˜๊ฐ€ ํฌํ•จ๋œ ๋™์  ํŒจ๋„ ๋ชจํ˜•(dynamic panel model)์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์ถ”์ • ๊ฒฐ๊ณผ, 2017๋…„ UN์˜ ์ œ์žฌ๊ฐ€ ๋ถํ•œ์˜ ๋Œ€์ค‘ ์ˆ˜์ถœ์—์„œ ํ’ˆ๋ชฉ์˜ ์™ธ์—ฐ์  ํ™•์žฅ ์ˆ˜์ค€์„ ์ถ•์†Œ ์‹œํ‚จ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ 2003๋…„ ์ผ๋ณธ์˜ ์ œ์žฌ๋Š” ์ค‘๊ตญ ์ˆ˜์ž… ์‹œ์žฅ์—์„œ ๋ถํ•œ ์ƒ์‚ฐํ’ˆ์˜ ์ƒ๋Œ€ ๊ฐ€๊ฒฉ์„ ์œ ์˜ํ•˜๊ฒŒ ํ•˜๋ฝ์‹œํ‚จ ๊ฒƒ์œผ๋กœ ์ถ”์ •๋˜์—ˆ๋‹ค. ์ถ”๊ฐ€์ ์ธ ํšŒ๊ท€๋ถ„์„์— ๋”ฐ๋ฅด๋ฉด, ์ด๋Ÿฌํ•œ ์ƒ๋Œ€ ๊ฐ€๊ฒฉ ํ•˜๋ฝ์€ ๋ถ-์ค‘ ๊ฐ„ ๊ฐ€๊ฒฉ ํ˜‘์ƒ๋ ฅ์˜ ์ฐจ์ด์—์„œ ๊ธฐ์ธํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ๋ถํ•œ์— ๋Œ€ํ•œ ๋ฌด์—ญ ์ œ์žฌ๊ฐ€ ๋‹ค๋ฅธ ์ฃผ์š” ๊ต์—ญ๊ตญ๊ณผ์˜ ๊ฑฐ๋ž˜ ๊ด€๊ณ„๋ฅผ ์ฐจ๋‹จํ•˜๊ณ  ์ค‘๊ตญ์— ๋Œ€ํ•œ ์˜์กด๋„๋ฅผ ์ง€๋‚˜์น˜๊ฒŒ ๋†’์ด๋ฉด์„œ ์•”๋ฌต์  ๋น„์šฉ์„ ๋ฐœ์ƒ์‹œํ‚ค๊ณ  ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋งˆ์ง€๋ง‰ ์žฅ์—์„œ๋Š” ๋‚จํ•œ์˜ 5.24 ์กฐ์น˜๋ฅผ ํšŒํ”ผํ•˜๊ธฐ ์œ„ํ•œ ๋ถ-์ค‘ ๊ฐ„์˜ ์šฐํšŒ๋ฌด์—ญ ๊ทœ๋ชจ๋ฅผ ์ถ”์ •ํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ค‘๊ตญ์˜ ๊ธฐ์—…-ํ’ˆ๋ชฉ ๋‹จ์œ„์˜ ์ž๋ฃŒ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ˜„์žฌ๊นŒ์ง€ ๋ถ-์ค‘ ๋ฌด์—ญ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ ์ค‘ ๊ฐ€์žฅ ๋ฏธ์‹œ์  ์ˆ˜์ค€์˜ ์‹ค์ฆ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ์ œ์‹œํ•œ๋‹ค. ๋ถ„์„ ๋ฐฉ๋ฒ•์€ ์ด์ค‘ ์ฐจ๋ถ„๋ฒ•(difference-in-difference estimation)์„ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ, ๋Œ€ ๋‚จํ•œ ์ˆ˜์ถœ๊ณผ ๋Œ€ ๋ถํ•œ ์ˆ˜์ž…์ด ๋™์‹œ์— ๋ฐœ์ƒํ•œ ๊ธฐ์—…-ํ’ˆ๋ชฉ๋“ค์„ ์ฒ˜์น˜๊ทธ๋ฃน์œผ๋กœ ์„ค์ •ํ•˜์—ฌ 2010๋…„ ์ „ํ›„์˜ ๋ณ€ํ™”๋ฅผ ์ถ”์ •ํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ๋ถํ•œ์˜ ์ค‘๊ตญ์„ ๊ฒฝ์œ ํ•œ ๋‚จํ•œ์œผ๋กœ์˜ ๊ฐ„์ ‘ ์ˆ˜์ถœ์€ 2010๋…„ 5.24 ์กฐ์น˜ ์ดํ›„ ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์‚ฐ์—…๋ณ„๋กœ ๋‚˜๋ˆ„์–ด ๋ณด๋ฉด, ์ด๋Ÿฌํ•œ ์šฐํšŒ ๋ฌด์—ญ์€ ์ฃผ๋กœ ์˜๋ฅ˜ ์ž„๊ฐ€๊ณต ๋ถ€๋ฌธ์— ์ง‘์ค‘๋˜์–ด ์žˆ์œผ๋ฉฐ ๊ทธ ๊ทœ๋ชจ๋Š” ์ œ์žฌ ์ดํ›„ ๋ถํ•œ์˜ ๋Œ€๋‚จ ์ง์ ‘ ์ˆ˜์ถœ ๊ฐ์†Œ๋ถ„์˜ 25%์— ๋‹ฌํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์ถ”์ •๋˜์—ˆ๋‹ค.This dissertation investigates the economic impacts of international conflict, focusing on the cases of the two Koreas. Specifically, it examines the effects of North Korea-related risks on the South Korean stock market and economic sanctions on North Korea's foreign trade. It consists of three empirical studies covering subtopics. The first chapter analyzes how South Korean stock returns respond to North Korea-related risk. To do this, a monthly index for geopolitical risk from North Korea is constructed using South Korean media coverage database. The index is based on the frequency of articles containing keywords that are likely to appear in the media when inter-Korean tensions escalate or ease. Analysis of the media coverage from 1999 to 2018 show that the geopolitical risk index sharply increases in the occurrences of nuclear tests, missile launches, and military confrontations, while decreases significantly at around the times of summit meetings and multilateral talks. In the regression analysis, it is found that geopolitical risk related to North Korea has more negative effects on stock returns of firms with a higher share of domestic investors, larger assets and a higher proportion of fixed assets. It is also found that stock prices of companies involved in inter-Korean economic cooperation exhibit a more sensitive response to the North Korea risk. Chapter โ…ก explores the impact of economic sanctions on North Koreas foreign trade, focusing on the quality of trade. It decomposes the trade between North Korea and China into the extensive margin, relative unit price and quantity, over the periods 1998-2018. Then it estimates sanction-induced changes in the former two elements of North Koreas export to China. The decomposition results show that the growth of North Koreas export to China is mostly attributed to the growth in quantity rather than quality. In the regression analysis, sanctions imposed by South Korea, Japan and the United Nations Security Council (UNSC) are used as key treatments. It is found that the UN sanctions in 2017 reduce the extensive margin in North Korean exports, and Japanese sanctions in 2003 have lowered the relative prices of North Korean products in the Chinese import market. The price impacts of sanctions are found to be associated with the bargaining power of China over North Korea. The findings suggest that trade sanctions against North Korea have created implicit costs by preventing North Korea from trading with alternative partners and increasing reliance on China. The last chapter estimates the size of the transit trade between North Korea and China to circumvent the sanctions imposed by South Korea. It exploits firm-product level variations in Chinese trade data to present micro evidence of the sanction-bypassing trade. Specifically, the transit trade is identified only when a firm import a product from North Korea and export the same product to South Korea in the same period. The difference-in-difference estimation results show that indirect exports from North Korea to South Korea via China are increased significantly by the 5.24 measures in 2010. The increase in North Koreas indirect export of apparels, in particular, accounts for a 25% of the decrease in North Korea's direct exports to South Korea.Introduction 1 Chapter โ… . Geopolitical Risk from North Korea and Stock Market Reaction 4 1. Introduction 4 2. Related Literature 6 2.1. News-based Uncertainty Index 6 2.2. The Effects of Geopolitical Risk from North Korea 7 3. Measuring Geopolitical Risk from North Korea 7 3.1. Definition and Scope of Geopolitical Risk 7 3.2. Data and Methodology 9 3.3. Evaluating the GPRNK Index 12 4. Geopolitical Risk and Firm-level Stock Returns 20 4.1. Empirical Framework 20 4.2. Data and Descriptive Statistics 23 4.3. Baseline Results 26 4.4. Robustness Check 32 5. Conclusion 40 Chapter โ…ก. Decomposing North Koreas Trade with China and Revisiting Sanction Effects 41 1. Introduction 41 2. Decomposing North Koreas Trade with China 46 2.1. Data 47 2.2. Methodology 50 2.3. Decomposition Results 52 3. Panel Regression Analysis 59 3.1. Empirical Framework 59 3.2. Baseline Results 63 3.3. Possible Channels 66 3.4. Robustness Check 71 4. Conclusion 73 Chapter โ…ข. The Role of Chinese firms in Bypassing Sanctions on North Korea 75 1. Introduction 75 2. Data 78 2.1. Chinese Custom Trade Data 78 2.2. Stylized Facts 81 3. Empirical Strategy 83 4. Regression Results 86 4.1. North Koreas Indirect Exports via China 86 4.2. The Effects of Sanctions on the Indirect Exports 90 5. Conclusion 93 Concluding Remarks 95 References 98 Appendices 107 A1. Supplementary Materials for Chapter 1 107 A2. Supplementary Materials for Chapter โ…ก 117 A3. Supplementary Materials for Chapter โ…ข 121Docto

    The Effects of the Exchange Rate on Investment: Evidence from Canadian Manufacturing Industries

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    Using industry-level data for 22 Canadian manufacturing industries, the authors examine the relationship between exchange rates and investment during the period 1981-97. Their empirical results show that the overall effect of exchange rates on total investment is statistically insignificant. Further investigation reveals the non-uniform investment response to exchange rate movements in three channels. First, it is important to distinguish between environments that have low and high exchange rate volatilities. Through changes in output demands, depreciations would have a positive effect on total investment when the exchange rate volatility is low. Yet, this stimulative effect becomes considerably smaller as the volatility increases. Second, these results for total investment are mainly due to movements in other machinery and equipment, and not to investment in information technology and structures. Third, investment in industries with low markup ratios are more likely to be affected by exchange rate movements.Exchange rates; Domestic demand and components

    Asymmetric cross-sectional dispersion in stock returns: evidence and implications

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    This paper documents that daily stock returns of both firms and industries are more dispersed when the overall stock market rises than when it falls. This positive relation is conceptually distinct from - and appears unrelated to - asymmetric return correlations. I argue that the source of the relation is positive skewness in sector-specific return shocks. I use this asymmetric behavior to explain a previously-observed puzzle: aggregate trading volume tends to be higher on days when the stock market rises than when it falls. The idea proposed here is that trading is more active on days when the market rises because on those days there is more non-market news on which to trade. I find that empirically, the bulk of the relation between volume and the signed market return is explained by variations in non-market volatility.Stock market ; Econometric models

    THE OIL INDUSTRY\u27S STOCK PRICE RESPONSES TO EVENTS SURROUNDING THE DEEPWATER HORIZON EXPLOSION

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    The Deepwater Horizon explosion had considerable environmental, economic, and regulatory impacts. We examine oil companies\u27 cumulative abnormal returns related to the date of the rig explosion, as well as announcements regarding insurance liability, insurance premiums for offshore drilling, and deepwater drilling moratorium events. We find no statistically significant stock response to the rig explosion itself โ€“ mostly likely given the incompleteness of information at the spill\u27s beginning. We do find firms directly involved with the Deepwater Horizon show negative responses to the moratorium on drilling in the Gulf of Mexico along with evidence that firms emphasizing drilling and service to existing oil wells also react negatively. Our results further show negative impacts from the possibility of increased financial assurance and insurance costs for firms involved in the pipeline and bulk station and terminal areas. Finally, firms with a weaker financial position (higher leverage) tend to have lower returns. In all, results support contagion more than competitive effects

    Recent developments in business lending by commercial banks

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    After growing rapidly during much of the 1990s, the real value of commercial and industrial (C&I) loans at domestic commercial banks and at U.S. branches and agencies of foreign banks has fallen 19 percent since the beginning of 2001. The recent contraction in business loans has been concentrated at large banking institutions and appears to stem from the combined effects of weak demand for credit and a tightening of lending standards and terms. The move toward a more-stringent lending posture, although partly cyclical, also reflects a reassessment of the risks and returns of C&I lending. This reassessment, in turn, is due partly to structural changes in the market, including the increased participation of nonbank financial institutions, the growth of the secondary loan market, and the greater use of credit derivatives by some banks.Commercial loans ; Bank loans

    INFLUENCE OF FRAUD AND CORRUPTION ON STOCK VALUE TRADED IN THE CAPITAL MARKET: NIGERIA EXPERIENCE

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    The study examined the influence of fraud and corruption on stock value traded in the Nigeria capital market. The social learning theory forms the basis of this research. The fundamental assumption of the theory is that deviance and conformity can result from the same learning process. Definitions, differential association, modelling, and reinforcement are the four factors that affect social behaviour. One is predisposed to either conforming or deviant behaviour depending on how these elements interact. The Nigerian Stock Exchange served as the source of secondary data. Descriptive and inferential statistics were applied for the analysis in this study. The results demonstrate that stock value traded on Nigeria's capital market is not significantly impacted by fraud or corruption. The study recommended that more room should be given to stock value trade as one of the capital market performance indicators in the market which will help investors to explore.JEL: D40; D53; D63ย  Article visualizations

    Financial market imperfections and the impact of exchange rate movements

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    This paper analyses empirically the role of financial market imperfections in the way countries' exports react to a currency depreciation. Using quarterly data for 27 developed and developing countries over the period 1990-2005, we find that the impact of a depreciation on exports will be less positive - or even negative - for a country if : (i) firms borrow in foreign currency ; (ii) they are credit constrained ; (iii) they are specialized in industries that require more external capital ; (iv) the magnitude of depreciation or devaluation is large. This last result emphasizes the existence of a non-linear relationship between an exchange rate depreciation and the reaction of a country's exports when financial imperfections are observed. This offers a new explanation for the consequences of recent currency crises in middle income countries.International trade, exchange rate movements, balance-sheets effects, financial market imperfections.
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