feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    UID:
    almahu_9948319608502882
    Format: 28 p. : , charts.
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Series Statement: IMF working paper ; WP/09/140
    Note: "July 2009".
    Language: English
    Keywords: Electronic books.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    UID:
    gbv_529243938
    Format: VII, 105 S. , graph. Darst.
    ISBN: 9781589065918
    Series Statement: Occasional paper / International Monetary Fund 253
    Note: Literaturverz. S. 101 - 103
    Language: English
    Subjects: Economics
    RVK:
    RVK:
    RVK:
    Keywords: Makroökonomie ; Entwicklungshilfe ; Äthiopien ; Geldpolitik ; Finanzpolitik ; Ghana ; Moçambique ; Tansania ; Uganda ; Graue Literatur
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    [Washington, D.C.] :International Monetary Fund, Western Hemisphere Dept.,
    UID:
    edoccha_9958126560202883
    Format: 1 online resource (22 p.)
    ISBN: 1-4623-7802-1 , 1-4527-0673-5 , 1-283-51266-1 , 1-4519-1141-6 , 9786613825117
    Series Statement: IMF working paper ; WP/07/124
    Content: This paper quantifies the effect of public investment on growth in the ECCU. The results, emerging from panel vector autoregressions, indicate that the return on public investment, as defined by Perreira (2000), is very likely negative. This means that the total change in real output induced by one EC dollar of public investment, due to its short-run impact on demand, or the longer-run impact on supply, is below one EC dollar. Public investment shocks also appear to appreciate the real exchange rate, suggesting that the short-run demand impact is larger than the long-run supply response.
    Note: "May 2007." , Contents; I. Introduction; II. Literature Review; III. Data-Description and Trends; IV. Estimation; A. Panel Vector Autoregressions-Pros and Cons for the ECCU; B. Selection of Endogenous Variables; C. Exogenous Variables-OECD Growth, Aid, Natural Disasters and Elections; D. Model Specification and Estimation; E. Impulse Responses; V. Results; A. The Effects of Aid Flows; B. The Impact of Public Investment on Growth; Tables; 1. ECCU: Rate of Return on Public Investment; C. Granger Causality Test-Public Investment on Output; D. The Impact of Growth on Public Investment , 2. ECCU: Rate of Return ComparedE. The Impact of Public Investment and Growth on the Bilateral RER; F. Effects of Natural Disaster and Elections; VI. Conclusions; Appendices; I. ECCU Public Investment Model: Summary Statistics; II. Correlation Matrix of Model Variables; III. VAR Coefficients on Natural Disaster and Election Dummy Variables; Figures; 1. ECCU: Public Investment, Growth and Aid Inflows, 1975-2004; 2. ECCU: Public Sector Investment, 1975-2004; 3. ECCU: Impulse Response for GDP and the Bilateral Real Exchange Rate to One Standard Deviation Public Investment and GDP Shocks , 4. ECCU: Accumulated Impulse Responses to a One Standard Deviation Shock to Public Investment5. Accumulated Impulse Responses to a One Standard Deviation Shock to GDP; 6. Accumulated Impulse Responses of the Bilateral RER to a One Standard Deviation Shock to GDP and Public Investment; References , English
    Additional Edition: ISBN 1-4518-6688-7
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    [Washington, D.C.] :International Monetary Fund, Western Hemisphere Dept.,
    UID:
    edoccha_9958124462802883
    Format: 1 online resource (34 p.)
    ISBN: 1-4623-8406-4 , 1-4527-3699-5 , 1-283-51809-0 , 1-4519-1289-7 , 9786613830548
    Series Statement: IMF working paper ; WP/07/273
    Content: We use a range of methods and remittance data from 1990 to 2007 to assess the strength and significance of linkages between remittance flows to Latin America and the U.S. business cycle. All of the evidence suggests that remittance flows are relatively insensitive to fluctuations in the U.S. cycle, underlining their role as a stable source of external financing, in good times and bad. A number of factors, notwithstanding uncertainties related to official remittance data reliability, might explain this result, including remittance smoothing and flexible immigrant labor markets.
    Note: "December 2007." , Contents; I. Introduction; II. Literature review; Figures; 1. Remittance Flows to Latin America, 2006; III. Data; IV. Estimating Linkages; A. Correlations; Tables; 1. Summary Statistics for First-Differenced Remittance Data; 2. Correlations Between Sample Countries and U.S. Indicators; B. Cointegrating long-run relationships; C. Distributed lag estimation; D. Dynamic factor model; V. Conclusion; 2. Dynamic Common Factor Model: Sensitivity of Remittances; References; Appendix , English
    Additional Edition: ISBN 1-4518-6836-7
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    [Washington, D.C.] :International Monetary Fund, Research Dept.,
    UID:
    edocfu_9958061618902883
    Format: 1 online resource (46 p.)
    Edition: 1st ed.
    ISBN: 1-4623-6897-2 , 1-4527-3500-X , 1-282-54125-0 , 1-4527-0339-6 , 9786613821966
    Series Statement: IMF working paper ; WP/06/152
    Content: Investment-to-GDP ratios across the Caribbean tend to be relatively high. In many countries, these ratios have been trending higher since the mid-1990s, largely reflecting public investment and foreign direct investment. Private domestic investors have been less prominent. This may be one reason why such high investment has delivered Caribbean growth rates below the middle-income average. This paper seeks to understand how higher private investment may be encouraged. Using new data, it concludes that: the multiplier effects of public investment and FDI on private domestic investment are weak; and private domestic investment (PDI) is sensitive to the cost of capital. Public policy designed to raise PDI should focus on creating conditions for a lower cost of capital. The focus should be on removing barriers to lower real interest rates, rather than the further extension of costly tax concessions.
    Note: "June 2006." , ""Contents""; ""I. INTRODUCTION""; ""II. TRENDS IN REGIONAL INVESTMENT 6""; ""III. LITERATURE REVIEW""; ""IV. A BASIC INVESTMENT MODEL""; ""V. DATA""; ""VI. ESTIMATION ISSUES""; ""VII. ESTIMATION RESULTS""; ""VIII. CONCLUSIONS""; ""References""; ""Data Sources and Estimates "" , English
    Additional Edition: ISBN 1-4518-6412-4
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    Online Resource
    Online Resource
    Washington, D.C. :International Monetary Fund,
    UID:
    edocfu_9958105383202883
    Format: 1 online resource (49 p.)
    ISBN: 1-4623-3252-8 , 1-4552-7387-2 , 1-283-57013-0 , 9786613882585 , 1-4552-0980-5
    Series Statement: IMF working papers ; WP/10/222
    Content: How does a commodity market adjust to a temporary scarcity shock which causes a shift in the slope of the futures price curve? We find long-run relationships between spot and futures prices, inventories and interest rates, which means that such shocks lead to an adjustment back towards a stable equilibrium. We find evidence that the adjustment is somewhat consistent with well-known theoretical models, such as Pindyck (2001); in other words, spot prices rise and then fall, while inventories are used to absorb the shock. Importantly, the pace and nature of the adjustment depends upon whether inventories were initially high or low, which introduces significant nonlinearities into the adjustment process.
    Note: "September 2010." , Cover Page; Title Page; Copyright Page; I. Introduction; II. Methodology; III. Data; IV. Accounting for the Persistence of Luck; A. Testing for Cointegration; B. Testing for and Locating Thresholds; C. Adjustment to temporary shocks; V. Conclusion; References; Footnotes , English
    Additional Edition: ISBN 1-4552-0887-6
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    Online Resource
    Online Resource
    [Washington, D.C.] :International Monetary Fund,
    UID:
    edocfu_9958110144702883
    Format: 1 online resource (26 p.)
    ISBN: 1-4755-3329-2 , 1-4755-2804-3
    Series Statement: IMF working paper ;
    Content: Shocks to aggregate activity in China have a significant and persistent short-run impact on the price of oil and some base metals. In contrast, shocks to apparent commodity-specific consumption (in part reflecting inventory demand) have no effect on commodity prices. China’s impact on world commodity markets is rising but, perhaps surprisingly, remains smaller than that of the United States. This is mainly due to the dynamics of real activity growth shocks in the U.S, which tend to be more persistent and have larger effects on the rest of the world.
    Note: Description based upon print version of record. , Cover; China's Impact on World Commodity Markets; I. INTRODUCTION; II. A BRIEF OVERVIEW OF CHINA'S ROLE IN WORLD COMMODITY MARKETS; A. Long-Term Structural Trends; B. Short-term Fluctuations; III. ECONOMETRIC METHODOLOGY: A STRUCTURAL VAR APPROACH; A. Aggregate Activity Shocks; B. Choice of Variables; IV. DATA; V. RESULTS; A. Block Exogenity Tests; B. Effects of real activity growth rate shocks; C. Effects of Commodity-Specific Country Demand Shocks; D. Effects of Price Shocks on Commodity Demand-Counter-cyclical Inventories?; E. Effects of Monetary Policy Shocks; F. Robustness Tests , VI. CONCLUSIONREFERENCES , English
    Additional Edition: ISBN 1-4755-1492-1
    Additional Edition: ISBN 1-4755-0336-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 8
    Online Resource
    Online Resource
    [Washington, DC] :International Monetary Fund, Research Dept.,
    UID:
    edoccha_9958120570702883
    Format: 1 online resource (48 p.)
    ISBN: 1-4623-1336-1 , 1-4552-5963-2 , 1-282-84605-1 , 9786612846052 , 1-4552-0112-X
    Series Statement: IMF working paper ; WP/10/129
    Content: The macroeconomic effects of large food price swings can be broad and far-reaching, including the balance of payments of importers and exporters, budgets, inflation, and poverty. For market participants and policymakers, managing low frequency volatility—i.e., the component of volatility that persists for longer than one harvest year—may be more challenging as uncertainty regarding its persistence is likely to be higher. This paper measures the low frequency volatility of food commodity spot prices using the spline- GARCH approach. It finds that low frequency volatility is positively correlated across different commodities, suggesting an important role for common factors. It also identifies a number of determinants of low frequency volatility, two of which—the variation in U.S. inflation and the U.S. dollar exchange rate—explain a relatively large part of the rise in volatility since the mid-1990s.
    Note: "May 2010". , Cover Page; Title Page; Copyright Page; I. Introduction; Figure; Figure 1. Real Food Price Volatility, 1875-2009; II. Estimation methodology; Cross-sectional analysis of low frequency volatility; III. Data; Commodity prices; Table 1. Food Commodity Prices 1875-2009; Table; Potential determinants of low frequency food price variationr; Inventories; Macroeconomic factors; Inflation; Exchange rates and interest rates; Global economic activity; Oil price volatility; Global weather patterns; Financial investment and speculation; Agricultural policies; IV. Results; Long-run Volatility Trends , Table 2. Estimations of the Spline-GARCH and GARCH(1,1) Models: 1957-2009Table 3. Estimations of the Spline-GARCH and GARCH(1,1) Models 1875-2009; Table 4. Food Commodity Low Frequency Volatility Correlations, 1875-2009; Figure 2. Low-Frequency Volatility Estimates, 1875-2009; Figure 3. Low-Frequency Volatility Estimates, 1960-2009; The Determinants of Low-Frequency Food Price Volatility; Table 5. Determinants of Low Frequency Volatility: Regression Estimates 1968-2009; Real interest rates; Inflation, exchange rate, and stock market volatility effects; Futures market activity , Real activity levels and volatility effectsEl Niño/La Niña effects - also statistically significant, but small; What does not affect low-frequency food price volatility; Table 6. Determinants of Low Frequency Volatility: Policy variables; What has explained the recent rise in food price volatility?; Figure 4. Corn: Contribution to Low-Frequency Price Volatility 1995-2009; V. Conclusion; Appendix; References; Footnotes
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 9
    Online Resource
    Online Resource
    [Washington, D.C.] :International Monetary Fund,
    UID:
    edocfu_9958077058602883
    Format: 1 online resource (27 p.)
    Edition: 1st ed.
    ISBN: 1-4623-9621-6 , 1-4527-4610-9 , 1-282-44794-7 , 1-4519-9116-9 , 9786613821140
    Series Statement: IMF working paper ; WP/06/194
    Content: Large fundamental imbalances persist in the global economy, with potential exchange rate implications. This paper assesses whether exchange rate risk is priced across G-7 stock markets. Given the multitude of hedging instruments available, theory suggests that stock market investors should not be compensated for currency risk. However, data covering 33 industry portfolios across seven major stock markets suggest that not only is exchange rate risk priced in many markets, but that it is time-varying and sensitive to currency-specific shocks. With stock market investors typically exhibiting "home bias," this suggests that investors are using equity asset proxies to hedge the exchange rate risks to consumption.
    Note: "August 2006." , ""Contents""; ""I. INTRODUCTION""; ""II. PREVIOUS LITERATURE""; ""III. MODEL SPECIFICATION ""; ""IV. ESTIMATION""; ""V. DATA AND PRELIMINARY STATISTICS""; ""VI. MAIN RESULTS""; ""VII. CONCLUSIONS""; ""REFERENCES"" , English
    Additional Edition: ISBN 1-4518-6454-X
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 10
    Online Resource
    Online Resource
    [Washington, DC] :International Monetary Fund, Finance Dept.,
    UID:
    edocfu_9958108312802883
    Format: 1 online resource (39 p.)
    Edition: 1st ed.
    ISBN: 1-4623-0028-6 , 1-4527-9749-8 , 1-282-84310-9 , 1-4518-7237-2 , 9786612843105
    Series Statement: IMF working paper ; WP/09/90
    Content: Long-term investors face a common problem-how to maintain the purchasing power of their assets over time and achieve a level of real returns consistent with their investment objectives. While inflation-linked bonds and derivatives have been developed to hedge the effects of inflation, their limited supply and liquidity lead many investors to continue to rely on the indirect hedging properties of traditional asset classes. In this paper, we assess these properties over different time horizons, in the context of a diversified portfolio. Using a vector error correction model, we find that effective short-run hedges, such as commodities, may not work over longer horizons and that tactical asset allocation could enhance investment returns following inflation surprises.
    Note: "April 2009". , Contents; I. Introduction; Figures; 1. Long-term Consumer Price Inflation, 1950-2008 (annual percent); II. Literature Review; A. Cash; B. Bonds; C. Corporate Equity; D. Alternatives; E. Diversified Portfolios; III. Inflation Hedging Over a One-Year Horizon; A. Data; Tables; 1. Short-Run Model Variables: Summary Statistics, Jan-1927 to Nov-2008; B. Estimation Strategy; C. Results; 2. Asset Class Sensitivity to Inflation Over a 12-Month Horizon; IV. Inflation Hedging over the Long Term; 3. Breakpoint Tests and Sub-Sample Regressions; A. Data; B. Estimation Strategy , 3. Long-Run Model Variables: Summary Statistics, Aug-1956 to Oct-2008C. Results; 2. Inflation Shock 20-Year Cumulative Impulse Response Functions; 3. Inflation Shock Elasticities; V. Summary and Investment Implications; Appendix; References , English
    Additional Edition: ISBN 1-4519-1672-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages