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Rakesh Bissoondeeal

Personal Details

First Name:Rakesh
Middle Name:
Last Name:Bissoondeeal
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RePEc Short-ID:pbi213
[This author has chosen not to make the email address public]
http://www1.aston.ac.uk/aston-business-school/staff/academic/esg/dr-rakesh-bissoondeeal/

Affiliation

Aston Business School
Aston University

Birmingham, United Kingdom
http://www.abs.aston.ac.uk/
RePEc:edi:bsastuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Jane Binner & Rakesh Bissoondeeal & Andrew Mullineux, 2004. "A Composite Leading Indicator of the Inflation Cycle for the Euro Area," Money Macro and Finance (MMF) Research Group Conference 2004 24, Money Macro and Finance Research Group.
  2. Jane Binner & Rakesh Bissoondeeal & Thomas Elger & Alicia Gazely & Andrew Mullineux, 2004. "Vector autoregressive models versus neural networks in forecasting: an application to Euro-inflation and divisia money," Money Macro and Finance (MMF) Research Group Conference 2003 5, Money Macro and Finance Research Group.

Articles

  1. Rakesh K. Bissoondeeal & Michail Karoglou & Alicia M. Gazely, 2011. "Forecasting The Uk/Us Exchange Rate With Divisia Monetary Models And Neural Networks," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(1), pages 127-152, February.
  2. Rakesh K. Bissoondeeal & Barry E. Jones & Jane M. Binner & Andrew W. Mullineux, 2010. "Household‐Sector Money Demand For The Uk," Manchester School, University of Manchester, vol. 78(s1), pages 90-113, September.
  3. Binner, Jane M. & Bissoondeeal, Rakesh K. & Elger, C. Thomas & Jones, Barry E. & Mullineux, Andrew W., 2009. "Admissible monetary aggregates for the euro area," Journal of International Money and Finance, Elsevier, vol. 28(1), pages 99-114, February.
  4. Rakesh K. Bissoondeeal, 2009. "Trade balance and real exchange rate: new evidence from Mauritius-UK trade," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 11(2), pages 167-179.
  5. Rakesh Bissoondeeal & Jane Binner & Thomas Elger, 2009. "Monetary models of exchange rates and sweep programs," Applied Financial Economics, Taylor & Francis Journals, vol. 19(14), pages 1117-1129.
  6. Rakesh Bissoondeeal, 2008. "Post-Bretton Woods evidence on PPP under different exchange rate regimes," Applied Financial Economics, Taylor & Francis Journals, vol. 18(18), pages 1481-1488.
  7. Rakesh K. Bissoondeeal & Jane M. Binner & Muddun Bhuruth & Alicia Gazely & Veemadevi P. Mootanah, 2008. "Forecasting exchange rates with linear and nonlinear models," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 10(4), pages 414-429.
  8. J. M. Binner & R. K. Bissoondeeal & A. W. Mullineux, 2005. "A composite leading indicator of the inflation cycle for the Euro area," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1257-1266.
  9. Jane Binner & Rakesh Bissoondeeal & Thomas Elger & Alicia Gazely & Andrew Mullineux, 2005. "A comparison of linear forecasting models and neural networks: an application to Euro inflation and Euro Divisia," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 665-680.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jane Binner & Rakesh Bissoondeeal & Andrew Mullineux, 2004. "A Composite Leading Indicator of the Inflation Cycle for the Euro Area," Money Macro and Finance (MMF) Research Group Conference 2004 24, Money Macro and Finance Research Group.

    Cited by:

    1. Hahn, Elke & Zekaite, Zivile & de Bondt, Gabe, 2018. "ALICE: A new inflation monitoring tool," Working Paper Series 2175, European Central Bank.
    2. Leong, Choi-Meng & Puah, Chin-Hong & Abu Mansor, Shazali & Evan, Lau, 2008. "Testing the Effectiveness of Monetary Policy in Malaysia Using Alternative Monetary Aggregation," MPRA Paper 10568, University Library of Munich, Germany.
    3. Sarah Gelper & Aurelie Lemmens & Christophe Croux, 2007. "Consumer sentiment and consumer spending: decomposing the Granger causal relationship in the time domain," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 1-11.
    4. de Bondt, Gabe J. & Hahn, Elke & Zekaite, Zivile, 2021. "ALICE: Composite leading indicators for euro area inflation cycles," International Journal of Forecasting, Elsevier, vol. 37(2), pages 687-707.
    5. Gelper, S. & Lemmens, A. & Croux, C., 2007. "Consumer sentiment and consumer spending : Decomposing the granger causal relationship in the time domain," Other publications TiSEM 55ac7230-2985-41f1-a42c-7, Tilburg University, School of Economics and Management.
    6. Binner, J.M. & Tino, P. & Tepper, J. & Anderson, R. & Jones, B. & Kendall, G., 2010. "Does money matter in inflation forecasting?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4793-4808.
    7. Seip, Knut Lehre & McNown, Robert, 2007. "The timing and accuracy of leading and lagging business cycle indicators: A new approach," International Journal of Forecasting, Elsevier, vol. 23(2), pages 277-287.
    8. Tan, Hao & Mathews, John A., 2010. "Identification and analysis of industry cycles," Journal of Business Research, Elsevier, vol. 63(5), pages 454-462, May.
    9. Hao Tan & John A. Mathews, 2007. "Cyclical Dynamics in Three Industries," DRUID Working Papers 07-07, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.

Articles

  1. Rakesh K. Bissoondeeal & Michail Karoglou & Alicia M. Gazely, 2011. "Forecasting The Uk/Us Exchange Rate With Divisia Monetary Models And Neural Networks," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(1), pages 127-152, February.

    Cited by:

    1. Huseyin Ince & Ali Fehim Cebeci & Salih Zeki Imamoglu, 2019. "An Artificial Neural Network-Based Approach to the Monetary Model of Exchange Rate," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 817-831, February.
    2. Supanee Harnphattananusorn, 2020. "Relationship between Thai Baht and Oil Price: A Neural Network Model," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 371-376.
    3. Somayeh Kokabisaghi & Mohammadesmaeil Ezazi & Reza Tehrani & Nourmohammad Yaghoubi, 2019. "Sanction or Financial Crisis? An Artificial Neural Network-Based Approach to model the impact of oil price volatility on Stock and industry indices," Papers 1912.04015, arXiv.org, revised Sep 2020.
    4. Rakesh Bissoondeeal & Michail Karoglou & Andy Mullineux, 2014. "Breaks in the UK Household Sector Money Demand Function," Manchester School, University of Manchester, vol. 82, pages 47-68, December.
    5. Mustafa Ozer & Veysel Inal & Mustafa Kirca, 0. "The Relationship Between the Health Services Price Index and The Real Effective Exchange Rate Index in Turkey: A Frequency Domain Causality Analysis," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(36), pages 21-41, June.

  2. Rakesh K. Bissoondeeal & Barry E. Jones & Jane M. Binner & Andrew W. Mullineux, 2010. "Household‐Sector Money Demand For The Uk," Manchester School, University of Manchester, vol. 78(s1), pages 90-113, September.

    Cited by:

    1. Bissoondeeal, Rakesh K. & Karoglou, Michail & Binner, Jane M., 2019. "Structural changes and the role of monetary aggregates in the UK," Journal of Financial Stability, Elsevier, vol. 42(C), pages 100-107.
    2. Belongia, Michael T. & Ireland, Peter N., 2014. "The Barnett critique after three decades: A New Keynesian analysis," Journal of Econometrics, Elsevier, vol. 183(1), pages 5-21.
    3. Richard G. Anderson & Barry E. Jones, 2011. "A comprehensive revision of the U.S. monetary services (divisia) indexes," Review, Federal Reserve Bank of St. Louis, vol. 93(Sep), pages 325-360.
    4. Mehmet Ezer, 2019. "Do Monetary Aggregates Belong In A Monetary Model? Evidence From The Uk," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(4), pages 509-530.
    5. John Ashworth & David Barlow & Lynne Evans, 2014. "Sectoral Money Demand Behaviour and the Welfare Cost of Inflation in the UK," Manchester School, University of Manchester, vol. 82(6), pages 732-750, December.
    6. Jane M. Binner & logan J. Kelly, 2017. "Modelling Money Shocks in a Small Open Economy: The Case of Taiwan," Manchester School, University of Manchester, vol. 85, pages 104-120, September.
    7. Rakesh Bissoondeeal & Michail Karoglou & Andy Mullineux, 2014. "Breaks in the UK Household Sector Money Demand Function," Manchester School, University of Manchester, vol. 82, pages 47-68, December.

  3. Binner, Jane M. & Bissoondeeal, Rakesh K. & Elger, C. Thomas & Jones, Barry E. & Mullineux, Andrew W., 2009. "Admissible monetary aggregates for the euro area," Journal of International Money and Finance, Elsevier, vol. 28(1), pages 99-114, February.

    Cited by:

    1. Alkhareif, Ryadh & Barnett, William A., 2012. "Divisia monetary aggregates for the GCC countries," MPRA Paper 39539, University Library of Munich, Germany.
    2. Bissoondeeal, Rakesh K. & Karoglou, Michail & Binner, Jane M., 2019. "Structural changes and the role of monetary aggregates in the UK," Journal of Financial Stability, Elsevier, vol. 42(C), pages 100-107.
    3. Jones, Barry E. & Stracca, Livio, 2008. "Does money matter in the IS curve? The case of the UK," Working Paper Series 904, European Central Bank.
    4. Rakesh K. Bissoondeeal & Barry E. Jones & Jane M. Binner & Andrew W. Mullineux, 2010. "Household‐Sector Money Demand For The Uk," Manchester School, University of Manchester, vol. 78(s1), pages 90-113, September.
    5. Zsolt Darvas, 2014. "Does money matter in the euro area? Evidence from a new Divisia index," Working Papers 1401, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    6. Binner, Jane & Chen, Shu-Heng & Lai, Ke-Hung & Mullineux, Andrew & Swofford, James L., 2011. "Do the ASEAN countries and Taiwan form a common currency area?," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1429-1435.
    7. Makram El-Shagi & Kiril Tochkov, 2020. "Shadow of the Colossus: Euro Area Spillovers and Monetary Policy in Central and Eastern Europe," CFDS Discussion Paper Series 2020/7, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    8. Binner, Jane M. & Chaudhry, Sajid & Kelly, Logan & Swofford, James L., 2018. "“Risky” monetary aggregates for the UK and US," Journal of International Money and Finance, Elsevier, vol. 89(C), pages 127-138.
    9. Israr Ahmad Shah Hashmi & Arshad Ali Bhatti, 2019. "On the monetary measures of global liquidity," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-23, December.

  4. Rakesh Bissoondeeal & Jane Binner & Thomas Elger, 2009. "Monetary models of exchange rates and sweep programs," Applied Financial Economics, Taylor & Francis Journals, vol. 19(14), pages 1117-1129.

    Cited by:

    1. Rakesh K. Bissoondeeal & Michail Karoglou & Alicia M. Gazely, 2011. "Forecasting The Uk/Us Exchange Rate With Divisia Monetary Models And Neural Networks," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(1), pages 127-152, February.
    2. Pope, Robin & Selten, Reinhard & Kaiser, Johannes & Kube, Sebastian & von Hagen, Jürgen, 2007. "The damage from clean floats: From an anti-inflationary monetary policy," Bonn Econ Discussion Papers 19/2007, University of Bonn, Bonn Graduate School of Economics (BGSE).
    3. Pope, Robin & Selten, Reinhard & Kube, Sebastian & von Hagen, Jürgen, 2009. "Managed Floats to Damp Shocks like 1982-5 and 2006-9: Field and Laboratory Evidence for Chinese Interest in a Single World Currency," Bonn Econ Discussion Papers 26/2009, University of Bonn, Bonn Graduate School of Economics (BGSE).

  5. Rakesh Bissoondeeal, 2008. "Post-Bretton Woods evidence on PPP under different exchange rate regimes," Applied Financial Economics, Taylor & Francis Journals, vol. 18(18), pages 1481-1488.

    Cited by:

    1. Fidora, Michael & Giordano, Claire & Schmitz, Martin, 2017. "Real exchange rate misalignments in the euro area," Working Paper Series 2108, European Central Bank.
    2. Huang, Chao-Hsi & Yang, Chih-Yuan, 2015. "European exchange rate regimes and purchasing power parity: An empirical study on eleven eurozone countries," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 100-109.

  6. Rakesh K. Bissoondeeal & Jane M. Binner & Muddun Bhuruth & Alicia Gazely & Veemadevi P. Mootanah, 2008. "Forecasting exchange rates with linear and nonlinear models," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 10(4), pages 414-429.

    Cited by:

    1. Rakesh K. Bissoondeeal & Michail Karoglou & Alicia M. Gazely, 2011. "Forecasting The Uk/Us Exchange Rate With Divisia Monetary Models And Neural Networks," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(1), pages 127-152, February.
    2. Chun-Teck Lye Author_Email: ctlye@mmu.edu.my & Tze-Haw Chan & Chee-Wooi Hooy, 2011. "Nonlinear Analysis Of Chinese And Malaysian Exchange Rates Predictability With Monetary Fundamentals," 2nd International Conference on Business and Economic Research (2nd ICBER 2011) Proceeding 2011-270, Conference Master Resources.
    3. Chun-Teck Lye & Tze-Haw Chan & Chee-Wooi Hooy, 2011. "Nonlinear prediction of Malaysian exchange rate with monetary fundamentals," Economics Bulletin, AccessEcon, vol. 31(3), pages 1960-1967.
    4. Alejandro Parot & Kevin Michell & Werner D. Kristjanpoller, 2019. "Using Artificial Neural Networks to forecast Exchange Rate, including VAR‐VECM residual analysis and prediction linear combination," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(1), pages 3-15, January.
    5. Sermpinis, Georgios & Stasinakis, Charalampos & Dunis, Christian, 2014. "Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 21-54.

  7. J. M. Binner & R. K. Bissoondeeal & A. W. Mullineux, 2005. "A composite leading indicator of the inflation cycle for the Euro area," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1257-1266.
    See citations under working paper version above.
  8. Jane Binner & Rakesh Bissoondeeal & Thomas Elger & Alicia Gazely & Andrew Mullineux, 2005. "A comparison of linear forecasting models and neural networks: an application to Euro inflation and Euro Divisia," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 665-680.

    Cited by:

    1. Alkhareif, Ryadh & Barnett, William A., 2012. "Divisia monetary aggregates for the GCC countries," MPRA Paper 39539, University Library of Munich, Germany.
    2. Muhammad Nadim Hanif & Khurrum S. Mughal & Javed Iqbal, 2018. "A Thick ANN Model for Forecasting Inflation," SBP Working Paper Series 99, State Bank of Pakistan, Research Department.
    3. Rakesh K. Bissoondeeal & Michail Karoglou & Alicia M. Gazely, 2011. "Forecasting The Uk/Us Exchange Rate With Divisia Monetary Models And Neural Networks," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(1), pages 127-152, February.
    4. Jane Binner & Rakesh Bissoondeeal & Andrew Mullineux, 2004. "A Composite Leading Indicator of the Inflation Cycle for the Euro Area," Money Macro and Finance (MMF) Research Group Conference 2004 24, Money Macro and Finance Research Group.
    5. Malliaris, A.G. & Malliaris, Mary, 2011. "Are oil, gold and the euro inter-related? time series and neural network analysis," MPRA Paper 35266, University Library of Munich, Germany.
    6. Makram El-Shagi & Kiril Tochkov, 2021. "Divisia Monetary Aggregates for Russia: Money Demand, GDP Nowcasting, and the Price Puzzle," CFDS Discussion Paper Series 2021/1, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    7. Patrick T. kanda & Mehmet Balcilar & Pejman Bahramian & Rangan Gupta, 2014. "Forecasting South African Inflation Using Non-Linear Models: A Weighted Loss-Based Evaluation," Working Papers 201416, University of Pretoria, Department of Economics.
    8. Oscar Claveria & Enric Monte & Salvador Torra, 2014. "“A multivariate neural network approach to tourism demand forecasting”," AQR Working Papers 201410, University of Barcelona, Regional Quantitative Analysis Group, revised May 2014.
    9. Emil Kraft & Dogan Keles & Wolf Fichtner, 2020. "Modeling of frequency containment reserve prices with econometrics and artificial intelligence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1179-1197, December.
    10. M. Ali Choudhary, 2011. "Neural Network Models for Inflation Forecasting: An Appraisal," Post-Print hal-00704670, HAL.
    11. Panayotis G. Michaelides & Efthymios G. Tsionas & Angelos T. Vouldis & Konstantinos N. Konstantakis & Panagiotis Patrinos, 2018. "A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 637-675, March.
    12. Farzan Aminian & E. Suarez & Mehran Aminian & Daniel Walz, 2006. "Forecasting Economic Data with Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 71-88, August.
    13. López Menéndez, Ana Jesús & Pérez Suárez, Rigoberto, 2017. "Forecasting Performance and Information Measures. Revisiting the M-Competition /Evaluación de Predicciones y Medidas de Información. Reexamen de la M-Competición," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 35, pages 299-314, Mayo.
    14. Yaya, OlaOluwa S & Ogbonna, Ephraim A & Furuoka, Fumitaka & Gil-Alana, Luis A., 2019. "A new unit root analysis for testing hysteresis in unemployment," MPRA Paper 96621, University Library of Munich, Germany.
    15. Szafranek, Karol, 2019. "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1042-1059.
    16. Shuofen Hsu & Chaohsin Lin & Yaling Yang, 2008. "Integrating Neural Networks for Risk‐Adjustment Models," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(3), pages 617-642, September.
    17. Tea Šestanović & Josip Arnerić, 2021. "Can Recurrent Neural Networks Predict Inflation in Euro Zone as Good as Professional Forecasters?," Mathematics, MDPI, vol. 9(19), pages 1-13, October.
    18. Tseng, Chih-Hsiung & Cheng, Sheng-Tzong & Wang, Yi-Hsien & Peng, Jin-Tang, 2008. "Artificial neural network model of the hybrid EGARCH volatility of the Taiwan stock index option prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3192-3200.
    19. Marcos Álvarez-Díaz & Rangan Gupta, 2015. "Forecasting the US CPI: Does Nonlinearity Matter?," Working Papers 201512, University of Pretoria, Department of Economics.
    20. Rizwan Raheem AHMED & Dalia STREIMIKIENE & Saghir Pervaiz GHAURI & Muhammad AQIL, 2021. "Forecasting Inflation by Using the Sub-Groups of both CPI and WPI: Evidence from Auto Regression (AR) and ARIMA Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 144-161, June.
    21. Bi-Huei Tsai, 2017. "Predicting the competitive relationships of industrial production between Taiwan and China using Lotka–Volterra model," Applied Economics, Taylor & Francis Journals, vol. 49(25), pages 2428-2442, May.
    22. E. Balatskiy V. & M. Yurevich A. & Е. Балацкий В. & М. Юревич А., 2018. "Прогнозирование инфляции: практика использования синтетических процедур // Inflation Forecasting: The Practice of Using Synthetic Procedures," Мир новой экономики // The world of new economy, Финансовый университет при Правительстве Российской Федерации // Financial University under The Governtment оf The Russian Federation, vol. 12(4), pages 20-31.
    23. S. DeVicerte & P. Alvarez & J. Perez & C. Caso, 2008. "Does currency crisis identification matter?," Applied Financial Economics, Taylor & Francis Journals, vol. 18(5), pages 387-395.
    24. Rakesh Bissoondeeal & Michail Karoglou & Andy Mullineux, 2014. "Breaks in the UK Household Sector Money Demand Function," Manchester School, University of Manchester, vol. 82, pages 47-68, December.
    25. Michael Dietrich, 2006. "Neural networks and the evolution of firms and industries: An application to UK SIC34 and SIC72," Working Papers 2006007, The University of Sheffield, Department of Economics, revised May 2006.
    26. Tea Šestanović & Josip Arnerić, 2021. "Neural network structure identification in inflation forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 62-79, January.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MON: Monetary Economics (1) 2004-09-30

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