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Financial econometrics has developed into a very fruitful and vibrant research area in the last two decades. The availability of good data promotes research in this area, specially aided by online data and high-frequency data. These two characteristics of financial data also create challenges for researchers that are different from classical macro-econometric and micro-econometric problems. This Special Issue is dedicated to research topics that are relevant for analyzing financial data. We have gathered six articles under this theme.

tuning parameter choice --- Markov process --- model averaging --- n/a --- steady state distributions --- realized volatility --- threshold --- risk prices --- threshold auto-regression --- bond risk premia --- linear programming estimator --- volatility forecasting --- Bayesian inference --- asset price bubbles --- stationarity --- deviance information criterion --- model selection --- probability integral transform --- forecast comparisons --- Markov-Chain Monte Carlo --- explosive regimes --- multivariate nonlinear time series --- Tukey’s power transformation --- affine term structure models --- Mallows criterion --- nonlinear nonnegative autoregression --- TVAR models --- stochastic conditional duration --- shrinkage --- Tukey's power transformation

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An economic development model analyzes the adoption of alternative strategy capable of leveraging the economy, based essentially on RES. The combination of wind turbine, PV installation with new technology battery energy storage, DSM network and RES forecasting algorithms maximizes RES integration in isolated islands. An innovative model of power system (PS) imbalances is presented, which aims to capture various features of the stochastic behavior of imbalances and to reduce in average reserve requirements and PS risk. Deep learning techniques for medium-term wind speed and solar irradiance forecasting are presented, using for first time a specific cloud index. Scalability-replicability of the FLEXITRANSTORE technology innovations integrates hardware-software solutions in all areas of the transmission system and the wholesale markets, promoting increased RES. A deep learning and GIS approach are combined for the optimal positioning of wave energy converters. An innovative methodology to hybridize battery-based energy storage using supercapacitors for smoother power profile, a new control scheme and battery degradation mechanism and their economic viability are presented. An innovative module-level photovoltaic (PV) architecture in parallel configuration is introduced maximizing power extraction under partial shading. A new method for detecting demagnetization faults in axial flux permanent magnet synchronous wind generators is presented. The stochastic operating temperature (OT) optimization integrated with Markov Chain simulation ascertains a more accurate OT for guiding the coal gasification practice.

Technology: general issues --- History of engineering & technology --- entrained flow coal gasification --- ash melting point --- operation temperature --- Markov process --- stochastic optimization model --- genetic algorithm --- gallium nitride --- magnetic-free converters --- module-level converters --- parallel architecture --- partial shading --- photovoltaic systems --- switched capacitor converters --- hybrid energy storage system --- supercapacitor --- lead–acid battery --- energy management system --- battery degradation --- depth of discharge --- techno-economic analysis --- hybrid power station --- green island --- energy storage --- remote community --- reserves --- k-means --- probabilistic dimensioning --- dynamic dimensioning --- balancing --- wave energy converters --- deep neural networks --- renewable energy sources --- spatial planning --- sentinel satellite imagery --- permanent magnet synchronous machines --- generators --- fault detection --- demagnetization --- artificial intelligence --- data mining --- machine learning --- advanced deep learning --- windspeed forecasting --- solar irradiation forecasting --- increased RES penetration --- smart grid --- scalability --- replicability --- FLEXITRANSTORE --- Angolan economy --- diversification --- strategic alternative --- biofuels

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Exit problems for one-dimensional Lévy processes are easier when jumps only occur in one direction. In the last few years, this intuition became more precise: we know now that a wide variety of identities for exit problems of spectrally-negative Lévy processes may be ergonomically expressed in terms of two q-harmonic functions (or scale functions or positive martingales) W and Z. The proofs typically require not much more than the strong Markov property, which hold, in principle, for the wider class of spectrally-negative strong Markov processes. This has been established already in particular cases, such as random walks, Markov additive processes, Lévy processes with omega-state-dependent killing, and certain Lévy processes with state dependent drift, and seems to be true for general strong Markov processes, subject to technical conditions. However, computing the functions W and Z is still an open problem outside the Lévy and diffusion classes, even for the simplest risk models with state-dependent parameters (say, Ornstein–Uhlenbeck or Feller branching diffusion with phase-type jumps).

Lévy processes --- non-random overshoots --- skip-free random walks --- fluctuation theory --- scale functions --- capital surplus process --- dividend payment --- optimal control --- capital injection constraint --- spectrally negative Lévy processes --- reflected Lévy processes --- first passage --- drawdown process --- spectrally negative process --- dividends --- de Finetti valuation objective --- variational problem --- stochastic control --- optimal dividends --- Parisian ruin --- log-convexity --- barrier strategies --- adjustment coefficient --- logarithmic asymptotics --- quadratic programming problem --- ruin probability --- two-dimensional Brownian motion --- spectrally negative Lévy process --- general tax structure --- first crossing time --- joint Laplace transform --- potential measure --- Laplace transform --- first hitting time --- diffusion-type process --- running maximum and minimum processes --- boundary-value problem --- normal reflection --- Sparre Andersen model --- heavy tails --- completely monotone distributions --- error bounds --- hyperexponential distribution --- reflected Brownian motion --- linear diffusions --- drawdown --- Segerdahl process --- affine coefficients --- spectrally negative Markov process --- hypergeometric functions --- capital injections --- bankruptcy --- reflection and absorption --- Pollaczek–Khinchine formula --- scale function --- Padé approximations --- Laguerre series --- Tricomi–Weeks Laplace inversion

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This Book is a Printed Edition of the Special Issue which covers sustainability as an emerging requirement in the fields of construction management, project management and engineering. We invited authors to submit their theoretical or experimental research articles that address the challenges and opportunities for sustainable construction in all its facets, including technical topics and specific operational or procedural solutions, as well as strategic approaches aimed at the project, company or industry level. Central to developments are smart technologies and sophisticated decision-making mechanisms that augment sustainable outcomes. The Special Issue was received with great interest by the research community and attracted a high number of submissions. The selection process sought to balance the inclusion of a broad representative spread of topics against research quality, with editors and reviewers settling on thirty-three articles for publication. The Editors invite all participating researchers and those interested in sustainable construction engineering and management to read the summary of the Special Issue and of course to access the full-text articles provided in the Book for deeper analyses.

building information modeling --- project owner --- attitude --- behavior --- technology acceptance model --- BIM --- information model --- bridge --- maintenance --- management system --- Public–private partnership (PPP) --- risk identification --- risk relationship --- triangular fuzzy number --- ISM --- MICMAC --- data collection system --- worker’s smartphone --- concrete temperature monitoring --- high-rise building construction --- sustainable roles --- LEED --- contractors --- Vietnam --- bridge deterioration --- prediction model --- semi-Markov process --- Weibull-distribution --- condition rating --- sustainable construction project management (SCPM) --- sustainable performance evaluation --- set pair analysis --- informatization --- greenization --- Guangzhou metro --- China --- time management --- delay management --- mitigation strategy --- owner perspective --- contractor perspective --- power construction project --- Tanzania --- knowledge transfer --- safety behavior --- safety management --- construction site --- structural equation modeling (SEM) --- building information modeling (BIM) --- building performance assessment (BPA) --- key performance indicators (KPIs) --- facility management (FM) --- operation and maintenance (O&amp --- M) --- operating room (OR) --- defects liability period --- risk matrix --- residential buildings --- loss distribution approach --- decision tree --- analytic hierarchy process --- dynamic programming --- sustainable investment --- project participants’ behaviour --- roof installation projects --- modular construction --- rework --- integrated design process --- dependency structure matrix (DSM) --- process optimization --- sustainability --- green building --- delay sources --- risk management --- random forest-genetic algorithm --- computer aid --- construction project --- bridge construction --- risk analysis --- loss assessment model --- third-party damage --- insurance --- sensitivity analysis --- uncertainty modelling --- load action --- resistance --- limit states --- stochastic simulation --- failure probability --- structural reliability --- correlations --- linguistic action indicators --- last planner system --- linguistic action perspective --- resource-dependent activity relationship --- scheduling --- scheduling software --- Microsoft Excel Visual Basic for Applications (MS Excel VBA) --- rework causes --- SWARA method --- time --- project success --- building projects --- sustainable construction --- value management --- exploratory factor analysis --- construction management --- green building materials (GBMs) --- building industry --- Sustainable Development Goals (SDGs) --- construction industry --- MCDM --- COPRAS method --- real case study --- enterprise competitiveness --- organizational flexibility --- organizational innovation --- modernization of construction industry --- structural equation modeling --- natural language processing --- construction data management --- machine learning --- thermal insulation --- multi criteria analysis --- SALSA --- buildings --- Renovation Wave --- sustainable highway construction --- sustainability indicators --- triangular intuitionistic fuzzy --- multi-criteria decision-making --- entropy measure --- risk attitudes --- organizational learning --- fly ash --- geopolymer --- environment --- sustainable --- construction --- public private partnership --- critical success factors --- fuzzy synthetic evaluation --- project governance --- maintenance, repair, and rehabilitation (MR&amp --- R) --- inspection --- optimization --- infrastructure --- decision making --- life cycle assessment --- materials --- greenhouse --- digital transformation --- digital technology --- strategy --- change management --- project assessment --- sustainability criteria --- construction projects --- decision robustness --- risk process --- project management --- IDEF0 --- risk system implementation --- design --- smart technologies --- decision-making methods