NLOS identification using parallel deep learning model and time-frequency information in UWB-based positioning system

J Wei, H Wang, S Su, Y Tang, X Guo, X Sun - Measurement, 2022 - Elsevier
Ultra wide band (UWB) radio positioning technology is widely used in indoor high-precision
positioning scenes, while obstacles in the wireless signal propagation path will cause the …

High-frequency quoting: Short-term volatility in bids and offers

J Hasbrouck - Journal of Financial and Quantitative Analysis, 2018 - cambridge.org
At subsecond horizons, bids and offers in US equity markets are more volatile than what
would be implied by long-term fundamentals. To assess costs and consequences, this paper …

Volatility forecasting in commodity markets using macro uncertainty

D Bakas, A Triantafyllou - Energy Economics, 2019 - Elsevier
In this paper, we empirically examine the predictive power of macroeconomic uncertainty on
the volatility of agricultural, energy and metals commodity markets. We find that the latent …

On realized volatility of crude oil futures markets: Forecasting with exogenous predictors under structural breaks

J Luo, Q Ji, T Klein, N Todorova, D Zhang - Energy Economics, 2020 - Elsevier
Abstract We introduce Infinite Hidden Markov (IHM) models to forecasting realized volatilities
of crude oil futures markets with exogenous factors. With these IHM models, we lift the …

Volatility in the after-crisis period: a literature review of recent empirical research

B Brümmer, O Korn, K Schlüßler… - Agricultural Markets …, 2016 - api.taylorfrancis.com
In this chapter, we present a literature review of the agricultural and food price volatility
patterns observed over the last decade. We focus on studies published in peer-reviewed …

Forecasting realized volatility of agricultural commodities

S Degiannakis, G Filis, T Klein, T Walther - International Journal of …, 2022 - Elsevier
We forecast the realized and median realized volatility of agricultural commodities using
variants of the heterogeneous autoregressive (HAR) model. We obtain tick-by-tick data on …

Linear and non-linear Granger causality between oil spot and futures prices: A wavelet based test

M Alzahrani, M Masih, O Al-Titi - Journal of International Money and …, 2014 - Elsevier
This study is the first attempt to investigate both the linear and non-linear Granger causality
between wavelet transformed spot and futures oil prices. Our findings consistently indicate …

On the time scale behavior of equity-commodity links: Implications for portfolio management

S Bekiros, DK Nguyen, GS Uddin, B Sjö - Journal of international financial …, 2016 - Elsevier
We investigate the time-scale relationships between US equity and commodity markets. The
empirical evidence from the risk-return profitability analysis based on the wavelet coherence …

Analysis of financial time-series using Fourier and wavelet methods

P Masset - Available at SSRN 1289420, 2008 - papers.ssrn.com
Analysis of Financial Time'Series using Fourier and Wavelet Methods Page 1 Electronic copy
available at: http://ssrn.com/abstract=1289420 Analysis of Financial Time'Series using Fourier …

El Niño, La Niña, and forecastability of the realized variance of agricultural commodity prices: Evidence from a machine learning approach

M Bonato, O Çepni, R Gupta… - Journal of …, 2023 - Wiley Online Library
We examine the predictive value of El Niño and La Niña weather episodes for the
subsequent realized variance of 16 agricultural commodity prices. To this end, we use high …