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Nick McLaren

Personal Details

First Name:Nick
Middle Name:
Last Name:McLaren
Suffix:
RePEc Short-ID:pmc250
[This author has chosen not to make the email address public]
http://www.bankofengland.co.uk/research/Pages/economists/staff/nick_mclaren.aspx

Affiliation

Bank of England

London, United Kingdom
http://www.bankofengland.co.uk/

+44 (0)20 3461 4878
+44 (0)20 3461 4771
Threadneedle Street, London EC2R 8AH
RePEc:edi:boegvuk (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Eguren-Martin, Fernando & McLaren, Nick, 2015. "How much do UK market interest rates respond to macroeconomic data news?," Bank of England Quarterly Bulletin, Bank of England, vol. 55(3), pages 259-272.
  2. McLaren, Nick & Smith, Tom, 2013. "The profile of cash transfers between the Asset Purchase Facility and Her Majesty’s Treasury," Bank of England Quarterly Bulletin, Bank of England, vol. 53(1), pages 29-37.
  3. Michael A. S. Joyce & Nick McLaren & Chris Young, 2012. "Quantitative easing in the United Kingdom: evidence from financial markets on QE1 and QE2," Oxford Review of Economic Policy, Oxford University Press, vol. 28(4), pages 671-701, WINTER.
  4. Banerjee, Ryan & McLaren, Nick, 2012. "Using changes in auction maturity sectors to help identify the impact of QE on gilt yields," Bank of England Quarterly Bulletin, Bank of England, vol. 52(2), pages 129-137.
  5. McLaren, Nick & Shanbhogue, Rachana, 2011. "Using internet search data as economic indicators," Bank of England Quarterly Bulletin, Bank of England, vol. 51(2), pages 134-140.

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.

Articles

  1. Eguren-Martin, Fernando & McLaren, Nick, 2015. "How much do UK market interest rates respond to macroeconomic data news?," Bank of England Quarterly Bulletin, Bank of England, vol. 55(3), pages 259-272.

    Cited by:

    1. Czech, Robert & Pintér, Gábor, 2020. "Informed trading and the dynamics of client-dealer connections in corporate bond markets," Bank of England working papers 895, Bank of England.

  2. McLaren, Nick & Smith, Tom, 2013. "The profile of cash transfers between the Asset Purchase Facility and Her Majesty’s Treasury," Bank of England Quarterly Bulletin, Bank of England, vol. 53(1), pages 29-37.

    Cited by:

    1. Michele Cavallo & Marco Del Negro & W. Scott Frame & Jamie Grasing & Benjamin A. Malin & Carlo Rosa, 2018. "Fiscal Implications of the Federal Reserve’s Balance Sheet Normalization," FEDS Notes 2017-01-09, Board of Governors of the Federal Reserve System (U.S.).
    2. Jens H. E. Christensen & Jose A. Lopez & Glenn D. Rudebusch, 2013. "A Probability-Based Stress Test of Federal Reserve Assets and Income," Working Paper Series 2013-38, Federal Reserve Bank of San Francisco.
    3. Jörg Bibow, 2018. "Unconventional monetary policies and central bank profits," IMK Studies 62-2018, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    4. Marco Del Negro & Christopher A. Sims, 2014. "When does a central bank’s balance sheet require fiscal support?," Staff Reports 701, Federal Reserve Bank of New York.
    5. Joerg Bibow, 2018. "Unconventional Monetary Policies and Central Bank Profits: Seigniorage as Fiscal Revenue in the Aftermath of the Global Financial Crisis," Economics Working Paper Archive wp_916, Levy Economics Institute.

  3. Michael A. S. Joyce & Nick McLaren & Chris Young, 2012. "Quantitative easing in the United Kingdom: evidence from financial markets on QE1 and QE2," Oxford Review of Economic Policy, Oxford University Press, vol. 28(4), pages 671-701, WINTER.

    Cited by:

    1. Haldane, Andrew & Roberts-Sklar, Matt & Wieladek, Tomasz & Young, Chris, 2016. "QE: The Story so far," Bank of England working papers 624, Bank of England.
    2. Anastasios Evgenidis & Apostolos Fasianos, 2019. "Monetary Policy and Wealth Inequalities in Great Britain: Assessing the role of unconventional policies for a decade of household data," Papers 1912.09702, arXiv.org.
    3. Joyce, Michael & Liu, Zhuoshi & Tonks, Ian, 2014. "Institutional investor portfolio allocation, quantitative easing and the global financial crisis," Bank of England working papers 510, Bank of England.
    4. Christopher Bowdler & Amar Radia, 2012. "Unconventional monetary policy: the assessment," Oxford Review of Economic Policy, Oxford University Press, vol. 28(4), pages 603-621, WINTER.
    5. D’Amico, Stefania & Kaminska, Iryna, 2019. "Credit easing versus quantitative easing: evidence from corporate and government bond purchase programs," Bank of England working papers 825, Bank of England.
    6. Churm, Rohan & Joyce, Mike & Kapetanios, George & Theodoridis, Konstantinos, 2015. "Unconventional monetary policies and the macroeconomy: the impact of the United Kingdom's QE2 and Funding for Lending Scheme," Bank of England working papers 542, Bank of England.
    7. Farrant, Katie & Inkinen, Mika & Rutkowska, Magda & Theodoridis, Konstantinos, 2013. "What can company data tell us about financing and investment decisions?," Bank of England Quarterly Bulletin, Bank of England, vol. 53(4), pages 361-370.
    8. Steeley, James M. & Matyushkin, Alexander, 2015. "The effects of quantitative easing on the volatility of the gilt-edged market," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 113-128.
    9. Breckenfelder, Johannes & De Fiore, Fiorella & Andrade, Philippe & Karadi, Peter & Tristani, Oreste, 2016. "The ECB's asset purchase programme: an early assessment," Working Paper Series 1956, European Central Bank.
    10. Steeley, James M., 2015. "The side effects of quantitative easing: Evidence from the UK bond market," Journal of International Money and Finance, Elsevier, vol. 51(C), pages 303-336.
    11. Philip Bunn & Paul Mizen & Pawel Smietanka, 2018. "Growing pension deficits and the expenditure decisions of UK companies," Discussion Papers 2018/05, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    12. Christopher Spencer, 2014. "Conventional and Unconventional Votes: A Tale of Three Monetary Policy Committees," Discussion Paper Series 2014_11, Department of Economics, Loughborough University, revised Dec 2014.
    13. Shogbuyi, Abiodun & Steeley, James M., 2017. "The effect of quantitative easing on the variance and covariance of the UK and US equity markets," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 281-291.

  4. Banerjee, Ryan & McLaren, Nick, 2012. "Using changes in auction maturity sectors to help identify the impact of QE on gilt yields," Bank of England Quarterly Bulletin, Bank of England, vol. 52(2), pages 129-137.

    Cited by:

    1. Bailey, Andrew & Bridges, Jonathan & Harrison, Richard & Jones, Josh & Mankodi, Aakash, 2020. "The central bank balance sheet as a policy tool: past, present and future," Bank of England working papers 899, Bank of England.
    2. De Santis, Roberto A., 2020. "Impact of the Asset Purchase Programme on euro area government bond yields using market news," Economic Modelling, Elsevier, vol. 86(C), pages 192-209.
    3. Boneva, Lena & de Roure, Calebe & Morley, Ben, 2018. "The impact of the Bank of England’s Corporate Bond Purchase Scheme on yield spreads," Bank of England working papers 719, Bank of England.
    4. Anastasios Evgenidis & Apostolos Fasianos, 2019. "Monetary Policy and Wealth Inequalities in Great Britain: Assessing the role of unconventional policies for a decade of household data," Papers 1912.09702, arXiv.org.
    5. Kathi Schlepper & Heiko Hofer & Ryan Riordan & Andreas Schrimpf, 2017. "Scarcity effects of QE: A transaction-level analysis in the Bund market," BIS Working Papers 625, Bank for International Settlements.
    6. Joyce, Michael & Liu, Zhuoshi & Tonks, Ian, 2014. "Institutional investor portfolio allocation, quantitative easing and the global financial crisis," Bank of England working papers 510, Bank of England.
    7. Francis Breedon & Philip Turner, 2016. "On the transactions costs ofquantitative easing," BIS Working Papers 571, Bank for International Settlements.
    8. Caporin, Massimiliano & Pelizzon, Loriana & Plazzi, Alberto, 2020. "Does monetary policy impact international market co-movements?," SAFE Working Paper Series 276, Leibniz Institute for Financial Research SAFE.
    9. Michael D. Bordo & Arunima Sinha, 2016. "A Lesson from the Great Depression that the Fed Might Have Learned: A Comparison of the 1932 Open Market Purchases with Quantitative Easing," Economics Working Papers 16113, Hoover Institution, Stanford University.
    10. Roberto A. De Santis & Fédéric Holm‐Hadulla, 2020. "Flow Effects of Central Bank Asset Purchases on Sovereign Bond Prices: Evidence from a Natural Experiment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(6), pages 1467-1491, September.
    11. Grahame Johnson & Sharon Kozicki & Romanos Priftis & Lena Suchanek & Jonathan Witmer & Jing Yang, 2020. "Implementation and Effectiveness of Extended Monetary Policy Tools: Lessons from the Literature," Discussion Papers 2020-16, Bank of Canada.
    12. Franck Martin & Jiangxingyun Zhang, 2017. "Impact of QE on European sovereign bond market," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 2017-04, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    13. Severin Bernhard & Till Ebner, 2016. "Cross-border Spillover Effects of Unconventional Monetary Policies on Swiss Asset Prices," Working Papers 2016-09, Swiss National Bank.
    14. Michael A. S. Joyce & Nick McLaren & Chris Young, 2012. "Quantitative easing in the United Kingdom: evidence from financial markets on QE1 and QE2," Oxford Review of Economic Policy, Oxford University Press, vol. 28(4), pages 671-701, WINTER.
    15. Georgios Chortareas & Menelaos Karanasos & Emmanouil Noikokyris, 2019. "Quantitative Easing And The Uk Stock Market: Does The Bank Of England Information Dissemination Strategy Matter?," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 569-583, January.
    16. Boneva, Lena & Elliott, David & Kaminska, Iryna & Linton, Oliver & McLaren, Nick & Morley, Ben, 2019. "The impact of corporate QE on liquidity: evidence from the UK," Bank of England working papers 782, Bank of England, revised 23 Jul 2020.
    17. Pelizzon, Loriana & Sottocornola, Matteo, 2018. "The impact of monetary policy iInterventions on the insurance industry," SAFE Working Paper Series 204, Leibniz Institute for Financial Research SAFE.
    18. Boneva, L. & Elliott, D. & Kaminska, I. & Linton, O. & McLaren, N. & Morley, B., 2019. "The Impact of QE on Liquidity: Evidence from the UK Corporate Bond Purchase Scheme," Cambridge Working Papers in Economics 1937, Faculty of Economics, University of Cambridge.
    19. Motto, Roberto & Altavilla, Carlo & Carboni, Giacomo, 2015. "Asset purchase programmes and financial markets: lessons from the euro area," Working Paper Series 1864, European Central Bank.
    20. Claudio Borio & Leonardo Gambacorta & Boris Hofmann, 2015. "The influence of monetary policy on bank profitability," BIS Working Papers 514, Bank for International Settlements.
    21. Claudio Borio & Anna Zabai, 2016. "Unconventional monetary policies: a re-appraisal," BIS Working Papers 570, Bank for International Settlements.
    22. Tischbirek, Andreas, 2018. "Large-scale bond purchases in a currency union with segmentation in the market for government debt," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 37-69.
    23. De Santis, Roberto A. & Holm-Hadulla, Fédéric, 2017. "Flow effects of central bank asset purchases on euro area sovereign bond yields: evidence from a natural experiment," Working Paper Series 2052, European Central Bank.
    24. Dimitris Malliaropulos & Petros Migiakis, 2018. "Quantitative easing and sovereign bond yields: a global perspective," Working Papers 253, Bank of Greece.
    25. José Dorich & Nicholas Labelle St-Pierre & Vadym Lepetyuk & Rhys R. Mendes, 2018. "Could a higher inflation target enhance macroeconomic stability?," Canadian Journal of Economics, Canadian Economics Association, vol. 51(3), pages 1029-1055, August.
    26. Michael E. Cahill & Stefania D'Amico & Canlin Li & John S. Sears, 2013. "Duration risk versus local supply channel in Treasury yields: evidence from the Federal Reserve's asset purchase announcements," Finance and Economics Discussion Series 2013-35, Board of Governors of the Federal Reserve System (U.S.).
    27. Churm, Rohan & Joyce, Mike & Kapetanios, George & Theodoridis, Konstantinos, 2015. "Unconventional monetary policies and the macroeconomy: the impact of the United Kingdom's QE2 and Funding for Lending Scheme," Bank of England working papers 542, Bank of England.
    28. De Santis, Roberto A. & Stein, Michael, 2016. "Correlation changes between the risk-free rate and sovereign yields of euro area countries," Working Paper Series 1979, European Central Bank.
    29. Stephanos Papadamou & Eleftherios Spyromitros & Nikolaos A. Kyriazis, 2018. "Quantitative easing effects on commercial bank liability and government yields in UK: A threshold cointegration approach," International Economics and Economic Policy, Springer, vol. 15(2), pages 353-371, April.
    30. Banerjee, Ryan N. & Mio, Hitoshi, 2018. "The impact of liquidity regulation on banks," Journal of Financial Intermediation, Elsevier, vol. 35(PB), pages 30-44.
    31. Markus Heckel & Kiyohiko G. Nishimura, 2020. "Unconventional Monetary Policy through Open Market Operations: A Principal Component Analysis," CARF F-Series CARF-F-501, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    32. Butt, Nicholas & Domit, Silvia & McLeay, Michael & Thomas, Ryland & Kirkham, Lewis, 2012. "What can the money data tell us about the impact of QE?," Bank of England Quarterly Bulletin, Bank of England, vol. 52(4), pages 321-331.
    33. Bank for International Settlements, 2019. "Unconventional monetary policy tools: a cross-country analysis," CGFS Papers, Bank for International Settlements, number 63, Autumn.
    34. Martijn Boermans & Viacheslav Keshkov, 2018. "The impact of the ECB asset purchases on the European bond market structure: Granular evidence on ownership concentration," DNB Working Papers 590, Netherlands Central Bank, Research Department.
    35. Andreas Tischbirek, 2016. "Unconventional Monetary Policy in a Currency Union with Segmentation in the Market for Government Debt," Cahiers de Recherches Economiques du Département d'économie 16.16, Université de Lausanne, Faculté des HEC, Département d’économie.
    36. Steeley, James M., 2015. "The side effects of quantitative easing: Evidence from the UK bond market," Journal of International Money and Finance, Elsevier, vol. 51(C), pages 303-336.
    37. Henning Hesse & Boris Hofmann & James Weber, 2017. "The macroeconomic effects of asset purchases revisited," BIS Working Papers 680, Bank for International Settlements.
    38. Abeer Reza & Eric Santor & Lena Suchanek, 2015. "Quantitative Easing as a Policy Tool Under the Effective Lower Bound," Discussion Papers 15-14, Bank of Canada.
    39. Jack Meaning & James Warren, 2015. "The Transmission of Unconventional Monetary Policy in UK Government Debt Markets," National Institute Economic Review, National Institute of Economic and Social Research, vol. 234(1), pages 40-47, November.
    40. Andrew Filardo & Boris Hofmann, 2014. "Forward guidance at the zero lower bound," BIS Quarterly Review, Bank for International Settlements, March.

  5. McLaren, Nick & Shanbhogue, Rachana, 2011. "Using internet search data as economic indicators," Bank of England Quarterly Bulletin, Bank of England, vol. 51(2), pages 134-140.

    Cited by:

    1. Mioara, POPESCU, 2015. "Construction Of Economic Indicators Using Internet Searches," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 6(1), pages 25-31.
    2. Oestmann, Marco & Bennöhr, Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113198, Verein für Socialpolitik / German Economic Association.
    3. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute of Labor Economics (IZA).
    4. Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
    5. Peter ven de Ven & Anne Harrison & Barbara Fraumeni & Diane Coyle, 2017. "The Future of the National Accounts: Statistics and the Democratic Conversation My thanks to Dave Giles, James Grant, Magnus Henrekson, Johannes Hirata, Alice Nakamura, Peter Sinclair and Geoff Tily f," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63, pages 223-237, December.
    6. David Kohns & Arnab Bhattacharjee, 2020. "Developments on the Bayesian Structural Time Series Model: Trending Growth," Papers 2011.00938, arXiv.org.
    7. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Gonzalez-Fernandez, Marcos & Miffre, Joelle, 2020. "Fear of hazards in commodity futures markets," Journal of Banking & Finance, Elsevier, vol. 119(C).
    8. David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015. "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, December.
    9. Lu-Tao Zhao & Li-Na Liu & Zi-Jie Wang & Ling-Yun He, 2019. "Forecasting Oil Price Volatility in the Era of Big Data: A Text Mining for VaR Approach," Sustainability, MDPI, Open Access Journal, vol. 11(14), pages 1-20, July.
    10. Tuhkuri, Joonas, 2016. "Forecasting Unemployment with Google Searches," ETLA Working Papers 35, The Research Institute of the Finnish Economy.
    11. Kovács, Olivér, 2017. "Az ipar 4.0 komplexitása - II [The Complexity of Industry 4.0 - Part 2]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 970-987.
    12. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    13. Young Joon Lee & Soohyon Kim & Ki Young Park, 2019. "Deciphering Monetary Policy Board Minutes with Text Mining: The Case of South Korea," Korean Economic Review, Korean Economic Association, vol. 35, pages 471-511.
    14. Marcos González-Fernández & Carmen González-Velasco, 2019. "An approach to predict Spanish mortgage market activity using Google data," Economics and Business Letters, Oviedo University Press, vol. 8(4), pages 209-214.
    15. Götz, Thomas B. & Knetsch, Thomas A., 2019. "Google data in bridge equation models for German GDP," International Journal of Forecasting, Elsevier, vol. 35(1), pages 45-66.
    16. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    17. Michał Chojnowski & Piotr Dybka, 2017. "Is Exchange Rate Moody? Forecasting Exchange Rate with Google Trends Data," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 2(1), pages 1-21, June.
    18. Robin Niesert & Jochem Oorschot & Chris Veldhuisen & Kester Brons & Rutger-Jan Lange, "undated". "Can Google Search Data Help Predict Macroeconomic Series?," Tinbergen Institute Discussion Papers 19-021/III, Tinbergen Institute.
    19. Mihaela Simionescu & Dalia Streimikiene & Wadim Strielkowski, 2020. "What Does Google Trends Tell Us about the Impact of Brexit on the Unemployment Rate in the UK?," Sustainability, MDPI, Open Access Journal, vol. 12(3), pages 1-10, January.
    20. Aleksandar Bradic, 2012. "The Role of Social Feedback in Financing of Technology Ventures," Papers 1301.2196, arXiv.org.
    21. Olivier Gergaud & Victor Ginsburgh, 2016. "Evaluating the Economic Effects of Cultural Events," Working Papers ECARES ECARES 2016-24, ULB -- Universite Libre de Bruxelles.
    22. Ki Young Park & Youngjoon Lee & Soohyon Kim, 2019. "Deciphering Monetary Policy Board Minutes through Text Mining Approach: The Case of Korea," Working Papers 2019-1, Economic Research Institute, Bank of Korea.
    23. Maas, Benedikt, 2019. "Short-term forecasting of the US unemployment rate," MPRA Paper 94066, University Library of Munich, Germany.
    24. Filipp Ulyankin, 2020. "Forecasting Russian Macroeconomic Indicators Based on Information from News and Search Queries," Russian Journal of Money and Finance, Bank of Russia, vol. 79(4), pages 75-97, December.
    25. Vicente, María Rosalía & López-Menéndez, Ana J. & Pérez, Rigoberto, 2015. "Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 132-139.
    26. Necmettin Alpay Koçak, 2020. "The Role of Ecb Speeches in Nowcasting German Gdp," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2020(2), pages 05-20.
    27. Greg Tkacz, 2013. "Predicting Recessions in Real-Time: Mining Google Trends and Electronic Payments Data for Clues," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 387, September.
    28. Li, Xin & Pan, Bing & Law, Rob & Huang, Xiankai, 2017. "Forecasting tourism demand with composite search index," Tourism Management, Elsevier, vol. 59(C), pages 57-66.
    29. González-Fernández, Marcos & González-Velasco, Carmen, 2018. "Can Google econometrics predict unemployment? Evidence from Spain," Economics Letters, Elsevier, vol. 170(C), pages 42-45.
    30. Alessia Naccarato & Andrea Pierini & Stefano Falorsi, 2015. "Using Google Trend Data To Predict The Italian Unemployment Rate," Departmental Working Papers of Economics - University 'Roma Tre' 0203, Department of Economics - University Roma Tre.
    31. Carlos León & Fabio Ortega, 2018. "Nowcasting economic activity with electronic payments data: A predictive modeling approach," Borradores de Economia 1037, Banco de la Republica de Colombia.
    32. Guglielmo Maria Caporale & Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cross-Border Portfolio Flows and News Media Coverage," CESifo Working Paper Series 8112, CESifo.
    33. Schmidt, Torsten & Vosen, Simeon, 2012. "Using Internet Data to Account for Special Events in Economic Forecasting," Ruhr Economic Papers 382, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    34. Youngjoon Lee & Soohyon Kim & Ki Young Park, 2018. "Deciphering Monetary Policy Committee Minutes with Text Mining Approach: A Case of South Korea," Working papers 2018rwp-132, Yonsei University, Yonsei Economics Research Institute.
    35. Simon Oehler, 2019. "Developments in the residential mortgage market in Germany – what can Google data tell us?," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
    36. , 2020. "Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims," Working Paper Series WP 2020-10, Federal Reserve Bank of Chicago.
    37. Javier Sebastian, 2016. "Blockchain in financial services: Regulatory landscape and future challenges," Working Papers 16/21, BBVA Bank, Economic Research Department.
    38. Vicki Wei Tang, 2018. "Wisdom of Crowds: Cross‐Sectional Variation in the Informativeness of Third‐Party‐Generated Product Information on Twitter," Journal of Accounting Research, Wiley Blackwell, vol. 56(3), pages 989-1034, June.
    39. Francesco D'Amuri & Juri Marcucci, 2012. "The predictive power of Google searches in forecasting unemployment," Temi di discussione (Economic working papers) 891, Bank of Italy, Economic Research and International Relations Area.
    40. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
    41. Reto Cueni & Bruno S. Frey, 2014. "Forecasts and Reactivity," CREMA Working Paper Series 2014-10, Center for Research in Economics, Management and the Arts (CREMA).
    42. Al-Nasseri, Alya & Menla Ali, Faek, 2018. "What does investors' online divergence of opinion tell us about stock returns and trading volume?," Journal of Business Research, Elsevier, vol. 86(C), pages 166-178.
    43. Naccarato, Alessia & Falorsi, Stefano & Loriga, Silvia & Pierini, Andrea, 2018. "Combining official and Google Trends data to forecast the Italian youth unemployment rate," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 114-122.
    44. Simionescu, Mihaela & Zimmermann, Klaus F., 2017. "Big Data and Unemployment Analysis," GLO Discussion Paper Series 81, Global Labor Organization (GLO).
    45. Johannes Bock, 2018. "Quantifying macroeconomic expectations in stock markets using Google Trends," Papers 1805.00268, arXiv.org.
    46. Francisca Beer & Fabrice Hervé & Mohamed Zouaoui, 2013. "Is Big Brother Watching Us? Google, Investor Sentiment and the Stock Market," Economics Bulletin, AccessEcon, vol. 33(1), pages 454-466.
    47. Branislav Saxa, 2014. "Forecasting Mortgages: Internet Search Data as a Proxy for Mortgage Credit Demand," Working Papers 2014/14, Czech National Bank.
    48. Diego Bodas & Juan R. García López & Tomasa Rodrigo López & Pep Ruiz de Aguirre & Camilo A. Ulloa & Juan Murillo Arias & Juan de Dios Romero Palop & Heribert Valero Lapaz & Matías J. Pacce, 2019. "Measuring retail trade using card transactional data," Working Papers 1921, Banco de España;Working Papers Homepage.
    49. Tuhkuri, Joonas, 2016. "ETLAnow: A Model for Forecasting with Big Data – Forecasting Unemployment with Google Searches in Europe," ETLA Reports 54, The Research Institute of the Finnish Economy.
    50. J.W.A.M. Steegmans, 2019. "The Pearls and Perils of Google Trends : A Housing Market Application," Working Papers 19-11, Utrecht School of Economics.
    51. Asgari, Mahdi & Nemati, Mehdi & Zheng, Yuqing, 2018. "Nowcasting Food Stock Movement using Food Safety Related Web Search Queries," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266323, Southern Agricultural Economics Association.
    52. Mihaela, Simionescu, 2020. "Improving unemployment rate forecasts at regional level in Romania using Google Trends," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    53. Voraprapa Nakavachara & Nuarpear Warn Lekfuangfu, 2017. "Predicting the Present Revisited: The Case of Thailand," PIER Discussion Papers 70, Puey Ungphakorn Institute for Economic Research, revised Oct 2017.
    54. Adrian Fernandez-Perez & Ana-Maria Fuertes & Marcos Gonzalez-Fernandez & Joelle Miffre, 2020. "Fear of Hazards in Commodity Futures Markets," Post-Print hal-02931680, HAL.
    55. Stephen L. France & Yuying Shi, 2017. "Aggregating Google Trends: Multivariate Testing and Analysis," Papers 1712.03152, arXiv.org, revised Mar 2018.
    56. Florian Schaffner, 2015. "Predicting US bank failures with internet search volume data," ECON - Working Papers 214, Department of Economics - University of Zurich.
    57. Diane Coyle, 2015. "Talking about the National Accounts: Statistics and the Democratic Conversation," The School of Economics Discussion Paper Series 1506, Economics, The University of Manchester.
    58. Clément Bortoli & Stéphanie Combes & Thomas Renault, 2018. "Nowcasting GDP Growth by Reading the Newspapers," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Études Économiques (INSEE), issue 505-506, pages 17-33.
    59. González-Fernández, Marcos & González-Velasco, Carmen, 2020. "A sentiment index to measure sovereign risk using Google data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 406-418.
    60. Askitas, Nikos & Zimmermann, Klaus F., 2011. "Detecting Mortgage Delinquencies," IZA Discussion Papers 5895, Institute of Labor Economics (IZA).
    61. Gomes, Pedro & Taamouti, Abderrahim, 2016. "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 103-117.
    62. Bholat, David, 2015. "Big data and central banks," Bank of England Quarterly Bulletin, Bank of England, vol. 55(1), pages 86-93.

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