The possibility that shareholders will lose money when they invest in a company that has debt, if the company's cash flow proves inadequate to meet its financial obligations. Moreover, for the market to continue to thrive, a rating must be compulsory for corporate bond issuers. … To assess the financial condition of the hotel industry, a visual interpretation of the. We find that all indicators reliably predict market events on simulated data and clearly distinguish the different models. When a company … We use the Keynesian macroeconomic static framework, which is based on an extended well-known investment-savings (IS) and liquidity preference–money supply (LM) model for analysis. The latter are bonds issued by the central issuer and backed by covered bonds, which banks would have created using their mortgages as their cover pool. The method of managing the corporate property portfolio in order to reduce the level of risk was optimized in the research, based on differentiated and portfolio approaches: the differentiated approach is used when considering corporate property as a set of individual elements that determine self-management; the portfolio one is used under the condition of combining corporate property in the management portfolio. This study uses the hidden Markov model (HMM) to identify different market regimes in the US stock market and proposes an investment strategy that switches factor investment models depending on the current detected regime. The growth of the market is related to the growth of its liquidity and is determined by a number. We first backtested an array of different factor models over a roughly 10.5 year period from January 2007 to September 2017, then we trained the HMM on S&P 500 ETF historical data to identify market regimes of that period. Sustainability and corporate social responsibility have today become key assets of many successful businesses and corporations. We argue that increasing international diversity in the boardroom improves both the quantity and quality of the information exchange between insiders and shareholders, thereby reducing adverse selection costs. View editorial board. Inflation has a negative impact on FDI flow regulations, which are aimed to promote private sector development is negatively related to FDI intensity. The main purpose of this article is to analyze current trends and identify prospects for the international tourism development in the context of increasing. This telethon will cover four key themes across three hours of discussion, broken into a range of formats – but t…, On December 9th, join the debate with industry experts to discuss the implications of the EU bond issuance, how it impacts derivatives market, and what opportunities and challenges a relatively fa…. In particular, we introduce Hawkes processes to automatically identify and date onsets of market turmoils which result in increased volatility. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in all areas of financial risk … Volatility clustering and fat tails are prominently observed in financial markets. ... Get Journal … © Infopro Digital Risk (IP) Limited (2020). Explore journal … The study analyzes the impact of macroeconomic, governance and risk factors on foreign direct investment (FDI) intensity with respect to the US market during the period 1960–2019. Control maps were constructed for each coefficient, which are part of the integrated indicator of financial stability, and their analysis was carried out for the presence of special reasons for the variability of the process of financial stability assessment. It examines the global dynamics of tourism flows, where France, Spain, and the USA are unquestionable leaders. A major research outlet for new empirical and model-based work in energy markets, dealing with the evolution and behaviour of electricity, The first journal to focus on the emerging field of financial market infrastructures; analysing and furthering the development of this exciting sector, Focusing on the advances in numerical and computational techniques in pricing, hedging and risk management of financial instruments, Devoted to theoretical and empirical studies in financial risk management, promoting research on the measurement, management and analysis of financial risk, Focuses on the measurement and management of credit risk, and the valuation and hedging of credit products in order to promote a greater understanding in credit risk theory, The leading forum for identifying recent advances and active, authoritative discussions on how to quantify, model and manage operational risk, Focuses on the implementation and validation of risk models, and aims to provide a greater understanding of the key issues, Putting you at the forefront of modern investment strategies, the journal meets the thirst for fresh views on this crucial discipline, An interdisciplinary journal publishing academically rigorous, practitioner-focused research on the application of network theory in finance. Forward-looking financial risk management and the housing market in the United Kingdom: is there a role for sentiment indicators? Benchmarking operational risk stress testing models, What is essential is invisible to the eye: prioritizing near misses to prevent future disasters, A FAVAR modeling approach to credit risk stress testing and its application to the Hong Kong banking industry, Benchmarking loss given default discount rates, A k-means++-improved radial basis function neural network model for corporate financial crisis early warning: an empirical model validation for Chinese listed companies, The use of range-based volatility estimators in testing for Granger causality in risk on international capital markets, Smaller drawdowns, higher average and risk-adjusted returns for equity portfolios, using options and power-log optimization based on a behavioral model of investor preferences, Eigenportfolios of US equities for the exponential correlation model, Optimal dynamic strategies on Gaussian returns, Is trading indicator performance robust? 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