Report NEP-FOR-2022-08-08

This is the archive for NEP-FOR, a report on new working papers in the area of Forecasting. Rob J Hyndman issued this report. It is usually issued weekly.

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Other reports in NEP-FOR

The following items were announced in this report:

• George Filis & Stavros Degiannakis & Zacharias Bragoudakis, 2022. "Forecasting macroeconomic indicators for Eurozone and Greece: How useful are the oil price assumptions?," Working Papers 296, Bank of Greece.
• Yiqi Deng & Siu Ming Yiu, 2022. "Deep Multiple Instance Learning For Forecasting Stock Trends Using Financial News," Papers 2206.14452, arXiv.org.
• Mueller, H. & Rauh, C. & Ruggieri, A., 2022. "Dynamic Early Warning and Action Model," Cambridge Working Papers in Economics 2236, Faculty of Economics, University of Cambridge.
• Mathieu Rosenbaum & Jianfei Zhang, 2022. "On the universality of the volatility formation process: when machine learning and rough volatility agree," Papers 2206.14114, arXiv.org.
• Fengyu Han & Yue Wang, 2022. "Predicting Stock Price Movement after Disclosure of Corporate Annual Reports: A Case Study of 2021 China CSI 300 Stocks," Papers 2206.12528, arXiv.org, revised Jul 2022.
• Raja, Sehrish & Tauqir, Aisha & Qureshi, Tehseen & Rana, Abdul Wajid, 2022. "Khyber Pakhtunkhwa Food Outlook Report (Rabi) 2022 - Rabi crops 2021-22," PACE Working Papers June 2022, International Food Policy Research Institute (IFPRI).
• Massaro, Alessandro & Magaletti, Nicola & Cosoli, Gabriele & Giardinelli, Vito O. M. & Leogrande, Angelo, 2022. "The Prediction of Diabetes," MPRA Paper 113372, University Library of Munich, Germany.
• Konstantin Gorgen & Abdolreza Nazemi & Melanie Schienle, 2022. "Robust Knockoffs for Controlling False Discoveries With an Application to Bond Recovery Rates," Papers 2206.06026, arXiv.org.
• Jessica Harding & Betsy Keating & Jennifer Walzer & Fei Xing & Susan Zief & Jessica Gao, "undated". "How Accurately Can We Predict Repeat Teen Pregnancy Based on Social Ecological Factors?," Mathematica Policy Research Reports 90be12655d4c4eec9f8973089, Mathematica Policy Research.