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Asset pricing, investment, and trading strategies are very important in finance. They are useful in various situations, for example, supporting the decision-making process of choosing investments; determining the asset-specific required rate of return on the investment; pricing derivatives for trading or hedging; getting portfolios from fixed incomes or bonds, stocks, and other assets; evaluating diverse portfolios; determining macroeconomic variables affecting market prices; calculating option prices; and incorporating features such as mean reversion and volatility, etc. They can also be applied in financial forecast for assets, portfolios, business projects.Understanding, modeling, and using various asset pricing models, investment models, and models for different trading strategies is paramount in many different areas of finance and investment, including banking, stocks, bonds, currencies, and related financial derivatives. Different asset pricing models, investment models, and models for different trading strategies also allow us to compare the performances of different variables through the analysis of empirical real-world data.This Special Issue on "Asset Pricing, Investment, and Trading Strategies” will be devoted to advancements in the theoretical development of various asset pricing models, investment models, and models for different trading strategies as well as to their applications.The Special Issue will encompass innovative theoretical developments, challenging and exciting practical applications, and interesting case studies in the development and analysis of various asset pricing models, investment models, and models for different trading strategies in finance and cognate disciplines.

Development economics & emerging economies --- quantile --- correlogram --- dependence --- predictability --- market efficiency --- state ownership --- risk-taking behavior --- investment --- Vietnam --- GMM --- nonlinearity --- trading strategy --- trade-offs --- transport operations --- competitiveness --- sustainability --- growth --- ARDL --- stock exchange --- capitalization --- turnover --- value traded --- agricultural commodity future prices --- extreme value --- NON-stationary Extreme Value Analysis (NEVA) --- Newton-optimal method --- high-frequency data --- market liquidity --- sovereign bonds --- spillover --- backwardation --- economic regimes --- momentum strategy --- systematic trading --- jumps identification --- swap variance --- integrated volatility --- realized volatility

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This book is a printed edition of the Special Issue titled “Assessing the Impact of Climate Change on Urban Cultural Heritage” hosted at the Atmosphere journal. This topic has been chosen in light of cities’ ever-growing role and immense potential in the climate adaptation and mitigation discourse and the particular challenges regarding urban heritage making and conservation. It is critical to recognise the complex set of factors governing the physical, social and political future of urban heritage in cityscapes in constant transformation and in an era of planetary urbanisation. The 10 papers (seven research papers, two reviews and one opinion piece) that comprise the issue give a broad cross-section of the issues pertinent to this important topic – accounts on practices and conceptual/methodological improvements in energy retrofit and reuse, risk mapping, urban planning, climate vulnerability assessment, and community engagement by 38 authors from seven countries are used to delineate the implications of current and likely future climates on heritage materials and systems, knowledge and practice gaps, as well as steps that need to be taken to ensure both their safeguarding and their valorisation to achieve climate resiliency.

historic buildings --- risk assessment --- WDR --- resilience --- sustainability --- extreme value analysis --- heritage values --- energy efficiency --- thermal comfort --- heritage conservation --- original features --- system dynamics --- social practices --- decision-making --- historic building --- durability --- performance --- life cycle analysis --- land-use --- tropics --- urban microclimate --- built heritage retrofit --- energy-efficient retrofit policy --- conservation policy --- UK --- Turkey --- earthquakes --- fire --- floods --- historic sites --- landslides --- museums --- insects --- sea level rise --- typhoons --- visitors --- extreme events --- climate projection --- Central Europe --- ProteCHt2save --- climate risk indices --- heritage climatology --- cultural heritage safeguarding --- preparedness --- energy-efficient retrofit --- historic residential buildings --- energy consumption prediction --- heritage buildings --- lithotype --- salt weathering --- kaolinisation --- microcracking --- weather events --- cultural heritage --- urban planning --- climate change --- n/a

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The book “Assessment of Renewable Energy Resources with Remote Sensing" focuses on disseminating scientific knowledge and technological developments for the assessment and forecasting of renewable energy resources using remote sensing techniques. The eleven papers inside the book provide an overview of remote sensing applications on hydro, solar, wind and geothermal energy resources and their major goal is to provide state of art knowledge to contribute with the renewable energy resource deployment, especially in regions where energy demand is rapidly expanding. Renewable energy resources have an intrinsic relationship with local environmental features and the regional climate. Even small and fast environment and/or climate changes can cause significant variability in power generation at different time and space scales. Methodologies based on remote sensing are the primary source of information for the development of numerical models that aim to support the planning and operation of an electric system with a substantial contribution of intermittent energy sources. In addition, reliable data and knowledge on renewable energy resource assessment are fundamental to ensure sustainable expansion considering environmental, financial and energetic security.

Research & information: general --- metaheuristic --- parameter extraction --- solar photovoltaic --- whale optimization algorithm --- cloud detection --- digitized image processing --- artificial neural networks --- solar irradiance estimation --- solar irradiance forecasting --- solar energy --- sky camera --- remote sensing --- CSP plants --- coastal wind measurements --- scanning LiDAR --- plan position indicator --- velocity volume processing --- Hazaki Oceanographical Research Station --- cloud coverage --- image processing --- total sky imagery --- geothermal energy --- geophysical prospecting --- time domain electromagnetic method --- electrical resistivity tomography --- potential well field location --- GES-CAL software --- smart island --- solar radiation forecasting --- light gradient boosting machine --- multistep-ahead prediction --- feature importance --- voxel-design approach --- shading envelopes --- point cloud data --- computational design method --- passive design strategy --- lake breeze influence --- hydropower reservoir --- solar irradiance enhancement --- solar energy resource --- wind speed --- extreme value analysis --- scatterometer --- feature engineering --- forecasting --- graphical user interface software --- machine learning --- photovoltaic power plant --- surface solar radiation --- global radiation --- satellite --- Baltic area --- coastline --- cloud --- convection --- climate --- renewable energy resource assessment and forecasting --- remote sensing data acquisition --- data processing --- statistical analysis --- machine learning techniques

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The book “Assessment of Renewable Energy Resources with Remote Sensing" focuses on disseminating scientific knowledge and technological developments for the assessment and forecasting of renewable energy resources using remote sensing techniques. The eleven papers inside the book provide an overview of remote sensing applications on hydro, solar, wind and geothermal energy resources and their major goal is to provide state of art knowledge to contribute with the renewable energy resource deployment, especially in regions where energy demand is rapidly expanding. Renewable energy resources have an intrinsic relationship with local environmental features and the regional climate. Even small and fast environment and/or climate changes can cause significant variability in power generation at different time and space scales. Methodologies based on remote sensing are the primary source of information for the development of numerical models that aim to support the planning and operation of an electric system with a substantial contribution of intermittent energy sources. In addition, reliable data and knowledge on renewable energy resource assessment are fundamental to ensure sustainable expansion considering environmental, financial and energetic security.

Research & information: general --- metaheuristic --- parameter extraction --- solar photovoltaic --- whale optimization algorithm --- cloud detection --- digitized image processing --- artificial neural networks --- solar irradiance estimation --- solar irradiance forecasting --- solar energy --- sky camera --- remote sensing --- CSP plants --- coastal wind measurements --- scanning LiDAR --- plan position indicator --- velocity volume processing --- Hazaki Oceanographical Research Station --- cloud coverage --- image processing --- total sky imagery --- geothermal energy --- geophysical prospecting --- time domain electromagnetic method --- electrical resistivity tomography --- potential well field location --- GES-CAL software --- smart island --- solar radiation forecasting --- light gradient boosting machine --- multistep-ahead prediction --- feature importance --- voxel-design approach --- shading envelopes --- point cloud data --- computational design method --- passive design strategy --- lake breeze influence --- hydropower reservoir --- solar irradiance enhancement --- solar energy resource --- wind speed --- extreme value analysis --- scatterometer --- feature engineering --- forecasting --- graphical user interface software --- machine learning --- photovoltaic power plant --- surface solar radiation --- global radiation --- satellite --- Baltic area --- coastline --- cloud --- convection --- climate --- renewable energy resource assessment and forecasting --- remote sensing data acquisition --- data processing --- statistical analysis --- machine learning techniques