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Content
2019, Volume 35, Issue 2
2019, Volume 35, Issue 1
- 1-10 Crowdsourcing the vote: New horizons in citizen forecasting
by Temporão, Mickael & Dufresne, Yannick & Savoie, Justin & Linden, Clifton van der
- 11-24 What determines forecasters’ forecasting errors?
by Nolte, Ingmar & Nolte, Sandra & Pohlmeier, Winfried
- 25-44 Measuring connectedness of euro area sovereign risk
by Buse, Rebekka & Schienle, Melanie
- 45-66 Google data in bridge equation models for German GDP
by Götz, Thomas B. & Knetsch, Thomas A.
- 67-79 Representation, estimation and forecasting of the multivariate index-augmented autoregressive model
by Cubadda, Gianluca & Guardabascio, Barbara
- 80-99 Predictive regressions under asymmetric loss: Factor augmentation and model selection
by Demetrescu, Matei & Hacıoğlu Hoke, Sinem
- 100-120 Forecasting the UK economy: Alternative forecasting methodologies and the role of off-model information
by Boneva, Lena & Fawcett, Nicholas & Masolo, Riccardo M. & Waldron, Matt
- 129-143 Forecast quality improvement with Action Research: A success story at PharmaCo
by Phillips, Christina Jane & Nikolopoulos, Konstantinos
- 144-156 Use and misuse of information in supply chain forecasting of promotion effects
by Fildes, Robert & Goodwin, Paul & Önkal, Dilek
- 157-169 Automatic selection of unobserved components models for supply chain forecasting
by Villegas, Marco A. & Pedregal, Diego J.
- 170-180 Forecasting sales in the supply chain: Consumer analytics in the big data era
by Boone, Tonya & Ganeshan, Ram & Jain, Aditya & Sanders, Nada R.
- 181-196 Forecasting spare part demand with installed base information: A review
by Van der Auweraer, Sarah & Boute, Robert N. & Syntetos, Aris A.
- 197-212 Demand forecasting with user-generated online information
by Schaer, Oliver & Kourentzes, Nikolaos & Fildes, Robert
- 213-223 Online big data-driven oil consumption forecasting with Google trends
by Yu, Lean & Zhao, Yaqing & Tang, Ling & Yang, Zebin
- 224-238 A general method for addressing forecasting uncertainty in inventory models
by Prak, Dennis & Teunter, Ruud
- 239-250 Quantile forecast optimal combination to enhance safety stock estimation
by Trapero, Juan R. & Cardós, Manuel & Kourentzes, Nikolaos
- 251-265 The inventory performance of forecasting methods: Evidence from the M3 competition data
by Petropoulos, Fotios & Wang, Xun & Disney, Stephen M.
- 271-287 Longshots, overconfidence and efficiency on the Iowa Electronic Market
by Berg, Joyce E. & Rietz, Thomas A.
- 288-296 The wisdom of large and small crowds: Evidence from repeated natural experiments in sports betting
by Brown, Alasdair & Yang, Fuyu
- 297-312 Predicting the failures of prediction markets: A procedure of decision making using classification models
by Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan
- 313-320 The cost of capital in a prediction market
by Grant, Andrew & Johnstone, David & Kwon, Oh Kang
- 321-335 Keeping a weather eye on prediction markets: The influence of environmental conditions on forecasting accuracy
by Sperb, Luis Felipe Costa & Sung, Ming-Chien & Johnson, Johnnie E.V. & Ma, Tiejun
- 336-350 Polls to probabilities: Comparing prediction markets and opinion polls
by Reade, J. James & Vaughan Williams, Leighton
- 351-370 Incentive compatibility in prediction markets: Costly actions and external incentives
by Di, Chen & Dimitrov, Stanko & He, Qi-Ming
- 371-389 The behaviour of betting and currency markets on the night of the EU referendum
by Auld, Tom & Linton, Oliver
- 390-407 Classification of intraday S&P500 returns with a Random Forest
by Lohrmann, Christoph & Luukka, Pasi
- 408-419 Explaining variance in the accuracy of prediction markets
by Strijbis, Oliver & Arnesen, Sveinung
- 420-428 When are prediction market prices most informative?
by Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton
2018, Volume 34, Issue 4
- 551-565 Residual value forecasting using asymmetric cost functions
by Dress, Korbinian & Lessmann, Stefan & von Mettenheim, Hans-Jörg
- 566-581 A dynamic multiple equation approach for forecasting PM2.5 pollution in Santiago, Chile
by Moisan, Stella & Herrera, Rodrigo & Clements, Adam
- 582-597 Structured low-rank matrix completion for forecasting in time series analysis
by Gillard, Jonathan & Usevich, Konstantin
- 598-611 Markov-switching dynamic factor models in real time
by Camacho, Maximo & Perez-Quiros, Gabriel & Poncela, Pilar
- 612-621 The diffusion of mobile social networking: Further study
by Bemmaor, Albert C. & Zheng, Li
- 622-635 Forecasting crude oil price volatility
by Herrera, Ana María & Hu, Liang & Pastor, Daniel
- 636-664 Predictions of short-term rates and the expectations hypothesis
by Guidolin, Massimo & Thornton, Daniel L.
- 665-677 Crude oil price forecasting based on internet concern using an extreme learning machine
by Wang, Jue & Athanasopoulos, George & Hyndman, Rob J. & Wang, Shouyang
- 678-695 Forecasting distress in cooperative banks: The role of asset quality
by Forgione, Antonio Fabio & Migliardo, Carlo
- 696-710 Information flow between prediction markets, polls and media: Evidence from the 2008 presidential primaries
by Khan, Urmee & Lieli, Robert P.
- 711-732 Forecasting dynamically asymmetric fluctuations of the U.S. business cycle
by Zanetti Chini, Emilio
- 733-747 Forecasting risk with Markov-switching GARCH models:A large-scale performance study
by Ardia, David & Bluteau, Keven & Boudt, Kris & Catania, Leopoldo
- 748-761 Improving time series forecasting: An approach combining bootstrap aggregation, clusters and exponential smoothing
by Dantas, Tiago Mendes & Cyrino Oliveira, Fernando Luiz
- 762-773 Ensemble forecast of photovoltaic power with online CRPS learning
by Thorey, J. & Chaussin, C. & Mallet, V.
- 774-787 Using low frequency information for predicting high frequency variables
by Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano
- 788-801 Understanding survey-based inflation expectations
by Berge, Travis J.
- 802-808 The M4 Competition: Results, findings, conclusion and way forward
by Makridakis, Spyros & Spiliotis, Evangelos & Assimakopoulos, Vassilios
- 809-821 Does the foreign sector help forecast domestic variables in DSGE models?
by Kolasa, Marcin & Rubaszek, Michał
- 822-829 Considerations of a retail forecasting practitioner
by Seaman, Brian
2018, Volume 34, Issue 3
- 377-388 An approximate long-memory range-based approach for value at risk estimation
by Meng, Xiaochun & Taylor, James W.
- 389-407 Inversion copulas from nonlinear state space models with an application to inflation forecasting
by Smith, Michael Stanley & Maneesoonthorn, Worapree
- 408-430 Macroeconomic forecasting using penalized regression methods
by Smeekes, Stephan & Wijler, Etienne
- 431-439 Improving social harm indices with a modulated Hawkes process
by Mohler, George & Carter, Jeremy & Raje, Rajeev
- 440-455 Forecasting bank failures and stress testing: A machine learning approach
by Gogas, Periklis & Papadimitriou, Theophilos & Agrapetidou, Anna
- 456-476 Improving forecasting performance using covariate-dependent copula models
by Li, Feng & Kang, Yanfei
- 477-496 Combining predictive distributions for the statistical post-processing of ensemble forecasts
by Baran, Sándor & Lerch, Sebastian
- 497-506 Portfolio optimization based on GARCH-EVT-Copula forecasting models
by Sahamkhadam, Maziar & Stephan, Andreas & Östermark, Ralf
- 507-528 Determining analogies based on the integration of multiple information sources
by Lu, Emiao & Handl, Julia & Xu, Dong-ling
- 529-547 Comparison of intraday probabilistic forecasting of solar irradiance using only endogenous data
by David, Mathieu & Luis, Mazorra Aguiar & Lauret, Philippe
2018, Volume 34, Issue 2
- 147-162 Probabilistic forecasting of industrial electricity load with regime switching behavior
by Berk, K. & Hoffmann, A. & Müller, A.
- 163-180 Forecasting from time series subject to sporadic perturbations: Effectiveness of different types of forecasting support
by De Baets, Shari & Harvey, Nigel
- 181-198 Are macroeconomic density forecasts informative?
by Clements, Michael P.
- 199-215 Affect versus cognition: Wishful thinking on election day
by Stiers, Dieter & Dassonneville, Ruth
- 216-224 The effects of feeding back experts’ own initial ratings in Delphi studies: A randomized trial
by Meijering, Jurian Vincent & Tobi, Hilde
- 225-234 How can big data enhance the timeliness of official statistics?
by Harchaoui, Tarek M. & Janssen, Robert V.
- 235-248 Social networks and citizen election forecasting: The more friends the better
by Leiter, Debra & Murr, Andreas & Rascón Ramírez, Ericka & Stegmaier, Mary
- 249-275 Forecasting banking crises with dynamic panel probit models
by Antunes, António & Bonfim, Diana & Monteiro, Nuno & Rodrigues, Paulo M.M.
- 276-287 Forecasting realized variance measures using time-varying coefficient models
by Bekierman, Jeremias & Manner, Hans
- 288-311 What do professional forecasters actually predict?
by Nibbering, Didier & Paap, Richard & van der Wel, Michel
- 314-335 Data-based mechanistic modelling and forecasting globally averaged surface temperature
by Young, Peter C.
- 339-354 Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods
by Kim, Hyun Hak & Swanson, Norman R.
- 355-365 Belgian economic policy uncertainty index: Improvement through text mining
by Tobback, Ellen & Naudts, Hans & Daelemans, Walter & Junqué de Fortuny, Enric & Martens, David
- 366-376 Nowcasting with payments system data
by Galbraith, John W. & Tkacz, Greg
2018, Volume 34, Issue 1
- 1-16 Targeted growth rates for long-horizon crude oil price forecasts
by Snudden, Stephen
- 17-29 Testing the Wisdom of Crowds in the field: Transfermarkt valuations and international soccer results
by Peeters, Thomas
- 30-44 Using past contribution patterns to forecast fundraising outcomes in crowdfunding
by Fan-Osuala, Onochie & Zantedeschi, Daniel & Jank, Wolfgang
- 45-63 MGARCH models: Trade-off between feasibility and flexibility
by de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther
- 64-74 Some theoretical results on forecast combinations
by Chan, Felix & Pauwels, Laurent L.
- 75-88 Dynamics of financial returns densities: A functional approach applied to the Bovespa intraday index
by Horta, Eduardo & Ziegelmann, Flavio
- 89-104 Benchmarking robustness of load forecasting models under data integrity attacks
by Luo, Jian & Hong, Tao & Fang, Shu-Cherng
- 105-116 Forecast-error-based estimation of forecast uncertainty when the horizon is increased
by Knüppel, Malte
- 119-135 Deciding between alternative approaches in macroeconomics
by Hendry, David F.
2017, Volume 33, Issue 4
- 745-759 Predicting recessions with boosted regression trees
by Döpke, Jörg & Fritsche, Ulrich & Pierdzioch, Christian
- 760-769 Systematic errors in growth expectations over the business cycle
by Dovern, Jonas & Jannsen, Nils
- 770-785 Realised variance forecasting under Box-Cox transformations
by Taylor, Nick
- 786-800 A now-casting model for Canada: Do U.S. variables matter?
by Bragoli, Daniela & Modugno, Michele
- 801-816 The predictive power of Google searches in forecasting US unemployment
by D’Amuri, Francesco & Marcucci, Juri
- 817-832 A neglected dimension of good forecasting judgment: The questions we choose also matter
by Merkle, Edgar C. & Steyvers, Mark & Mellers, Barbara & Tetlock, Philip E.
- 833-847 Forecast evaluation tests and negative long-run variance estimates in small samples
by Harvey, David I. & Leybourne, Stephen J. & Whitehouse, Emily J.
- 848-863 Volatility measures and Value-at-Risk
by Bams, Dennis & Blanchard, Gildas & Lehnert, Thorsten
- 864-877 Car resale price forecasting: The impact of regression method, private information, and heterogeneity on forecast accuracy
by Lessmann, Stefan & Voß, Stefan
- 878-893 Business tendency surveys and macroeconomic fluctuations
by Kaufmann, Daniel & Scheufele, Rolf
- 894-914 Selecting exchange rate fundamentals by bootstrap
by Ribeiro, Pinho J.
- 915-935 Nowcasting BRIC+M in real time
by Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima
- 936-957 Beta forecasting at long horizons
by Cenesizoglu, Tolga & de Oliveira Ferrazoli Ribeiro, Fabio & Reeves, Jonathan J.
- 958-969 Forecasting multidimensional tail risk at short and long horizons
by Polanski, Arnold & Stoja, Evarist
- 970-987 Optimal asset allocation for strategic investors
by Laborda, Ricardo & Olmo, Jose
- 988-1006 Adaptive expectations versus rational expectations: Evidence from the lab
by Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro
- 1007-1024 Re-anchoring countercyclical capital buffers: Bayesian estimates and alternatives focusing on credit growth
by Gonzalez, Rodrigo Barbone & Marinho, Leonardo Sousa Gomes & Lima, Joaquim Ignacio Alves de Vasconcellos e
- 1025-1043 Infinite hidden markov switching VARs with application to macroeconomic forecast
by Hou, Chenghan
- 1044-1064 When does the yield curve contain predictive power? Evidence from a data-rich environment
by Hännikäinen, Jari
- 1065-1081 Short-term inflation forecasting: The M.E.T.A. approach
by Sbrana, Giacomo & Silvestrini, Andrea & Venditti, Fabrizio
- 1082-1104 Forecasting inflation in emerging markets: An evaluation of alternative models
by Mandalinci, Zeyyad
- 1105-1123 Threshold stochastic volatility: Properties and forecasting
by Mao, Xiuping & Ruiz, Esther & Veiga, Helena
- 1124-1143 Forecasting with VAR models: Fat tails and stochastic volatility
by Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pintér, Gábor
2017, Volume 33, Issue 3
- 569-580 Stock return prediction under GARCH — An empirical assessment
by Herwartz, Helmut
- 581-590 A wavelet-based multivariate multiscale approach for forecasting
by Rua, António
- 591-604 Model and survey estimates of the term structure of US macroeconomic uncertainty
by Clements, Michael P. & Galvão, Ana Beatriz
- 605-617 The effect of price volatility on judgmental forecasts: The correlated response model
by Sobolev, Daphne
- 618-626 Improving the power of the Diebold–Mariano–West test for least squares predictions
by Mayer, Walter J. & Liu, Feng & Dang, Xin
- 627-651 VARX-L: Structured regularization for large vector autoregressions with exogenous variables
by Nicholson, William B. & Matteson, David S. & Bien, Jacob
- 652-661 The influence of product involvement and emotion on short-term product demand forecasting
by Belvedere, Valeria & Goodwin, Paul
- 662-678 Dependence in credit default swap and equity markets: Dynamic copula with Markov-switching
by Fei, Fei & Fuertes, Ana-Maria & Kalotychou, Elena
- 679-693 Real-time inflation forecasting with high-dimensional models: The case of Brazil
by Garcia, Márcio G.P. & Medeiros, Marcelo C. & Vasconcelos, Gabriel F.R.
- 694-706 Does fiscal responsibility matter? Evidence from public and private forecasters in Italy
by Carabotta, Laura & Paluzie, Elisenda & Ramos, Raul
- 707-728 Evaluation of exchange rate point and density forecasts: An application to Brazil
by Gaglianone, Wagner Piazza & Marins, Jaqueline Terra Moura
- 729-742 Forecasting the variance of stock index returns using jumps and cojumps
by Clements, Adam & Liao, Yin
2017, Volume 33, Issue 2
- 337-344 A vector heterogeneous autoregressive index model for realized volatility measures
by Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain
- 345-358 Visualising forecasting algorithm performance using time series instance spaces
by Kang, Yanfei & Hyndman, Rob J. & Smith-Miles, Kate
- 359-372 Evaluating multi-step system forecasts with relatively few forecast-error observations
by Hendry, David F. & Martinez, Andrew B.
- 373-389 Does realized volatility help bond yield density prediction?
by Shin, Minchul & Zhong, Molin
- 390-402 Now-casting the Japanese economy
by Bragoli, Daniela
- 403-415 Empowering cash managers to achieve cost savings by improving predictive accuracy
by Salas-Molina, Francisco & Martin, Francisco J. & Rodríguez-Aguilar, Juan A. & Serrà, Joan & Arcos, Josep Ll.
- 416-432 Density forecast evaluation in unstable environments
by González-Rivera, Gloria & Sun, Yingying
- 433-441 Structural forecasts for marketing data
by Allenby, Greg M.
- 442-457 Forecasting inflation: Phillips curve effects on services price measures
by Tallman, Ellis W. & Zaman, Saeed
- 458-466 A bivariate Weibull count model for forecasting association football scores
by Boshnakov, Georgi & Kharrat, Tarak & McHale, Ian G.
- 467-481 Forecasting elections at the constituency level: A correction–combination procedure
by Munzert, Simon
- 482-501 Adaptive models and heavy tails with an application to inflation forecasting
by Delle Monache, Davide & Petrella, Ivan
- 502-512 Forecasting compositional time series: A state space approach
by Snyder, Ralph D. & Ord, J. Keith & Koehler, Anne B. & McLaren, Keith R. & Beaumont, Adrian N.
- 513-522 Forecasting loss given default of bank loans with multi-stage model
by Tanoue, Yuta & Kawada, Akihiro & Yamashita, Satoshi
- 523-542 Economic forecasting in theory and practice: An interview with David F. Hendry
by Ericsson, Neil R.
- 543-559 How biased are U.S. government forecasts of the federal debt?
by Ericsson, Neil R.
- 560-562 Comment on “How Biased are US Government Forecasts of the Federal Debt?”
by Gamber, Edward N. & Liebner, Jeffrey P.
- 563-568 Interpreting estimates of forecast bias
by Ericsson, Neil R.
2017, Volume 33, Issue 1
- 1-10 Monte Carlo forecast evaluation with persistent data
by Khalaf, Lynda & Saunders, Charles J.
- 11-20 Quantile regression forecasts of inflation under model uncertainty
by Korobilis, Dimitris
- 21-47 A comparison of wavelet networks and genetic programming in the context of temperature derivatives
by Alexandridis, Antonis K. & Kampouridis, Michael & Cramer, Sam
- 48-60 Model Confidence Sets and forecast combination
by Samuels, Jon D. & Sekkel, Rodrigo M.
- 61-75 A mixed frequency approach to the forecasting of private consumption with ATM/POS data
by Duarte, Cláudia & Rodrigues, Paulo M.M. & Rua, António
- 76-89 A comparative assessment of alternative ex ante measures of inflation uncertainty
by Hartmann, Matthias & Herwartz, Helmut & Ulm, Maren
- 90-101 Modeling intra-seasonal heterogeneity in hourly advertising-response models: Do forecasts improve?
by Kiygi-Calli, Meltem & Weverbergh, Marcel & Franses, Philip Hans
- 102-120 Forecasting market returns: bagging or combining?
by Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E.
- 121-131 Forecasting the Brazilian yield curve using forward-looking variables
by Vieira, Fausto & Fernandes, Marcelo & Chague, Fernando
- 132-152 Realized volatility forecasting of agricultural commodity futures using the HAR model with time-varying sparsity
by Tian, Fengping & Yang, Ke & Chen, Langnan
- 153-173 Forecasting GDP with global components: This time is different
by Bjørnland, Hilde C. & Ravazzolo, Francesco & Thorsrud, Leif Anders
- 174-184 Identifying business cycle turning points in real time with vector quantization
by Giusto, Andrea & Piger, Jeremy
- 185-198 Real-time nowcasting the US output gap: Singular spectrum analysis at work
by de Carvalho, Miguel & Rua, António
- 199-213 Forecasting stochastic processes using singular spectrum analysis: Aspects of the theory and application
by Khan, M. Atikur Rahman & Poskitt, D.S.
- 214-229 EXSSA: SSA-based reconstruction of time series via exponential smoothing of covariance eigenvalues
by Papailias, Fotis & Thomakos, Dimitrios
- 230-243 Use of expert knowledge to anticipate the future: Issues, analysis and directions
by Bolger, Fergus & Wright, George
- 244-253 Quantifiying blind spots and weak signals in executive judgment: A structured integration of expert judgment into the scenario development process
by Meissner, Philip & Brands, Christian & Wulf, Torsten
- 254-266 Augmenting the intuitive logics scenario planning method for a more comprehensive analysis of causation
by Derbyshire, James & Wright, George
- 267-279 I nvestigate D iscuss E stimate A ggregate for structured expert judgement
by Hanea, A.M. & McBride, M.F. & Burgman, M.A. & Wintle, B.C. & Fidler, F. & Flander, L. & Twardy, C.R. & Manning, B. & Mascaro, S.
- 280-297 Evaluating expert advice in forecasting: Users’ reactions to presumed vs. experienced credibility
by Önkal, Dilek & Sinan Gönül, M. & Goodwin, Paul & Thomson, Mary & Öz, Esra
- 298-313 Expertise, credibility of system forecasts and integration methods in judgmental demand forecasting
by Alvarado-Valencia, Jorge & Barrero, Lope H. & Önkal, Dilek & Dennerlein, Jack T.
- 314-324 Using a rolling training approach to improve judgmental extrapolations elicited from forecasters with technical knowledge
by Petropoulos, Fotios & Goodwin, Paul & Fildes, Robert
- 325-336 An investigation of dependence in expert judgement studies with multiple experts
by Wilson, Kevin J.
2016, Volume 32, Issue 4
- 1103-1119 A comparison of AdaBoost algorithms for time series forecast combination
by Barrow, Devon K. & Crone, Sven F.
- 1120-1137 Cross-validation aggregation for combining autoregressive neural network forecasts
by Barrow, Devon K. & Crone, Sven F.
- 1138-1150 What predicts US recessions?
by Liu, Weiling & Moench, Emanuel
- 1151-1161 Models for optimising the theta method and their relationship to state space models
by Fiorucci, Jose A. & Pellegrini, Tiago R. & Louzada, Francisco & Petropoulos, Fotios & Koehler, Anne B.
- 1162-1177 Testing for predictability in panels of any time series dimension
by Westerlund, Joakim & Narayan, Paresh
- 1178-1192 Does disagreement among oil price forecasters reflect volatility? Evidence from the ECB surveys
by Atalla, Tarek & Joutz, Fred & Pierru, Axel
- 1193-1207 Equity premium prediction: Are economic and technical indicators unstable?
by Baetje, Fabian & Menkhoff, Lukas
- 1208-1211 The forecastability quotient reconsidered
by Gardner, Everette Shaw & Acar, Yavuz
- 1212-1233 Investor attention to rounding as a salient forecast feature
by Athanasakou, Vasiliki & Simpson, Ana
- 1234-1246 Testing the historic tracking of climate models
by Beenstock, Michael & Reingewertz, Yaniv & Paldor, Nathan
- 1247-1255 A simple model for now-casting volatility series
by Breitung, Jörg & Hafner, Christian M.
- 1256-1267 Forecasting using sparse cointegration
by Wilms, Ines & Croux, Christophe
- 1268-1283 Modelling and trading the U.S. implied volatility indices. Evidence from the VIX, VXN and VXD indices
by Psaradellis, Ioannis & Sermpinis, Georgios
- 1284-1305 Forecasting and nowcasting economic growth in the euro area using factor models
by Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper
- 1306-1316 Modeling the impact of forecast-based regime switches on US inflation
by Bel, Koen & Paap, Richard
- 1317-1339 Global equity market volatility spillovers: A broader role for the United States
by Buncic, Daniel & Gisler, Katja I.M.
- 1340-1351 Constrained functional time series: Applications to the Italian gas market
by Canale, Antonio & Vantini, Simone
- 1352-1368 The role of spatial and temporal structure for residential rent predictions
by Füss, Roland & Koller, Jan A.
- 1369-1384 Nowcasting Turkish GDP and news decomposition
by Modugno, Michele & Soybilgen, Barış & Yazgan, Ege
- 1385-1402 Variational Bayes for assessment of dynamic quantile forecasts
by Gerlach, Richard & Abeywardana, Sachin
2016, Volume 32, Issue 3
- 585-597 Electric load forecasting with recency effect: A big data approach
by Wang, Pu & Liu, Bidong & Hong, Tao
- 598-613 The relationship between model complexity and forecasting performance for computer intelligence optimization in finance
by Ghandar, Adam & Michalewicz, Zbigniew & Zurbruegg, Ralf
- 614-628 Long-run restrictions and survey forecasts of output, consumption and investment
by Clements, Michael P.
- 629-649 A multilevel functional data method for forecasting population, with an application to the United Kingdom
by Shang, Han Lin & Smith, Peter W.F. & Bijak, Jakub & Wiśniowski, Arkadiusz
- 650-668 Getting the most out of macroeconomic information for predicting excess stock returns
by Çakmaklı, Cem & van Dijk, Dick
- 669-679 A new metric of absolute percentage error for intermittent demand forecasts
by Kim, Sungil & Kim, Heeyoung
- 680-694 Aggregate versus disaggregate information in dynamic factor models
by Alvarez, Rocio & Camacho, Maximo & Perez-Quiros, Gabriel
- 695-715 Combining nearest neighbor predictions and model-based predictions of realized variance: Does it pay?
by Andrada-Félix, Julián & Fernández-Rodríguez, Fernando & Fuertes, Ana-Maria
- 716-725 Time varying biases and the state of the economy
by Xie, Zixiong & Hsu, Shih-Hsun
- 726-735 Household forecasting: Preservation of age patterns
by Keilman, Nico
- 736-753 Nonlinear forecasting with many predictors using kernel ridge regression
by Exterkate, Peter & Groenen, Patrick J.F. & Heij, Christiaan & van Dijk, Dick
- 754-762 The forecast combination puzzle: A simple theoretical explanation
by Claeskens, Gerda & Magnus, Jan R. & Vasnev, Andrey L. & Wang, Wendun
- 763-787 Bayesian model averaging and principal component regression forecasts in a data rich environment
by Ouysse, Rachida
- 788-803 Evaluating predictive count data distributions in retail sales forecasting
by Kolassa, Stephan
- 804-817 Central banks’ forecasts and their bias: Evidence, effects and explanation
by Charemza, Wojciech & Ladley, Daniel
- 818-837 Density forecasting using Bayesian global vector autoregressions with stochastic volatility
by Huber, Florian
- 838-848 Forecasting food prices: The case of corn, soybeans and wheat
by Ahumada, H. & Cornejo, M.
- 849-864 Uncertainty in forecasting inflation and monetary policy design: Evidence from the laboratory
by Pfajfar, Damjan & Žakelj, Blaž
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