Study of Using Applications of Artificial Intelligence in Performance of Financial Markets

In an attempt to revive the stock market in Egypt and revitalize it to fulfill its developmental role, the Egyptian government has pursued a program of economic and financial reform aimed at improving the regulatory environment for the work of that market and removing all restrictions on foreign exchange transactions for foreign investors on the Egyptian Stock Exchange, so this program allowed free movement of entry and exit of the heads Money without any restrictions. Despite differing opinions about the freedom of movement of capital, however

Analysis of the cryptocurrency market using different prototype-based clustering techniques

Since the emergence of Bitcoin, cryptocurrencies have grown significantly, not only in terms of capitalization but also in number. Consequently, the cryptocurrency market can be a conducive arena for investors, as it offers many opportunities. However, it is difficult to understand. This study aims to describe, summarize, and segment the main trends of the entire cryptocurrency market in 2018, using data analysis tools. Accordingly, we propose a new clustering-based methodology that provides complementary views of the financial behavior of cryptocurrencies, and one that looks for associations between the clustering results, and other factors that are not involved in clustering. Particularly, the methodology involves applying three different partitional clustering algorithms, where each of them use a different representation for cryptocurrencies, namely, yearly mean, and standard deviation of the returns, distribution of returns that have not been applied to financial markets previously, and the time series of returns. Because each representation provides a different outlook of the market, we also examine the integration of the three clustering results, to obtain a fine-grained analysis of the main trends of the market. In conclusion, we analyze the association of the clustering results with other descriptive features of cryptocurrencies, including the age, technological attributes, and financial ratios derived from them. This will help to enhance the profiling of the clusters with additional descriptive insights, and to find associations with other variables. Consequently, this study describes the whole market based on graphical information, and a scalable methodology that can be reproduced by investors who want to understand the main trends in the market quickly, and those that look for cryptocurrencies with different financial performance.In our analysis of the 2018 and 2019 for extended period, we found that the market can be typically segmented in few clusters (five or less), and even considering the intersections, the 6 more populations account for 75% of the market. Regarding the associations between the clusters and descriptive features, we find associations between some clusters with volume, market capitalization, and some financial ratios, which could be explored in future research.

Circular Economy Impact Analysis on Stock Performances: An Empirical Comparison with the Euro Stoxx 50® ESG Index

Environmental issues have a considerable impact in all economic sectors, also influencing financial markets. As a result, environmental, social, and governance (ESG) awareness is rising in the financial sector. In this perspective, the concept of circular economy (CE) assumes central relevance. The aim of our study is to investigate the relationship between CE strategies and market performance; to this end, we use ESG scores as a proxy for CE. Our initial assumption is that since CE is a component of the “E” factor—in that it can generate positive and measurable environmental impacts—then it can be associated with the ESG score. Therefore, we can methodologically overcome the lack of a specific score related to CE. We use a preselection model based on historical performance by verifying the percentages of the presence of stocks in the two selected indices, namely ESG Euro Stoxx 50® and Euro Stoxx 50-ESG. Overall, we find that ESG profiles have a positive impact on stock performance, although ESG scores do not express higher performance per se. Furthermore, our analysis shows that, to date, there is no evidence that CE initiatives can influence stock returns.

Cash holdings, tax policies, and institutional environments of innovative enterprises

We discover a positive association between a firm's innovativeness and its cash holdings using data from 11,653 innovative enterprises in 51 non-US economies. This relationship is even stronger now that patent boxes have been implemented, which provide preferential tax treatment for patent income. Additionally, creative multinationals that face increased repatriation taxes amass larger total cash holdings. The positive innovativeness–cash relationship is more pronounced in countries with higher R&D tax credits, less developed financial markets, stronger governance, stronger shareholder rights, more technicians, better infrastructure, and greater investment freedom, as well as in industries with fiercer competition and longer innovation cycles. Innovative organizations with greater cash on hand invest more in research and development and generate more patents. In general, our findings shed light on the factors that contribute to the massive wealth buildup in creative enterprises globally.

New Bundesbank chief likely to be less hawkish

Significance Weidmann decided to quit early as his efforts to oppose ultra-loose monetary policies were continuously resisted in the ECB. Unlike his predecessors, Nagel does not appear to possess strongly held convictions regarding monetary policy, suggesting he will be more pragmatic in relations with the ECB. Impacts Nagel will make digital modernisation a key objective during his time as Bundesbank president. Nagel’s support for stronger German connections with Chinese financial markets may weaken amid political tension. A strong economic recovery in 2022 would embolden those in the ECB governing council supporting the phasing out of asset-buying programmes.

Credit Risk Volatility: Evidences From the Green Bond Market

The paper is an investigation on the impact of financial markets on the volatility of green bonds credit risk component, measured by the option-adjusted spread/swap curve (OAS) of the Global Bloomberg Barclays MSCI Green Bond Index, for both the non and pandemic periods. For these purpose, after observing the dynamic joint correlations between all the variables through a DCC-GARCH, we adopt GARCH(1,1) and EGARCH(1,1) models, putting the OAS as dependent variable. Our main results show that the conditional variance parameters are significant and persistent in both times, testifying the overall impact of the other markets on the OAS. In more detail, we highlight that the gamma in the two EGARCH models is positive: so the “green” credit risk volatility is more sensitive to positive shocks than negative ones. With reference to the conditional mean, we note that if during the non pandemic time only the stock market is significant, during the pandemic also conventional bonds and gold are impacting. To the best of our knowledge this is the first study that analyzes the specific credit risk component of green bond yields: we deem our findings useful to observe the change of green bonds creditworthiness in a complex market context.

Predictability of the Realised Volatility of International Stock Markets Amid Uncertainty Related to Infectious Diseases

In the context of the great turmoil in the financial markets caused by the COVID-19 pandemic, the predictability of daily infectious diseases-related uncertainty (EMVID) for international stock markets volatilities is examined using heterogeneous autoregressive realised variance (HAR-RV) models. A recursive estimation approach in the short-, medium- and long-run out-of-sample predictability is considered and the main findings show that the EMVID index plays a significant role in forecasting the volatility of international stock markets. Furthermore, the results suggest that the most vulnerable stock markets to EMVID are those in Singapore, Portugal and The Netherlands. The implications of these results for investors and portfolio managers amid high levels of uncertainty resulting from infectious diseases are discussed.