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In recent years, stock exchanges have been increasingly integrating and merging their activities at a national and international scale. While consolidation is often driven by technological, legal and competitive changes, whether merger activities are efficient in terms of market microstructure remains unknown. Academic research to date has analyzed the causes behind these mergers primarily from the technological, legal and competitive perspective, whereas relatively little literature considers their impact on the exchange itself. The paper aims to consider the case of the Euronext merger to explain this topic by studying this merger and its effect on Euronext's market risk (measured by volatility).

The paper uses a standard General Auto‐regressive Conditional Heteroskedasticity (GARCH (1,1)) process to study the volatility of the underlying markets and use break methodology to highlight the merger effects. It also adds control samples to account for any change in volatility that could be caused by factors other than the merger event.

The results suggest that the Euronext merger did not affect the market risk. In particular, the paper finds no evidence that the integration onto the same platforms for trading and clearing had a significant effect on the volatility of the merging markets.

This study contributes to clarify business issues and to guide policy makers on exchange industrial organization.

The present paper further contributes to the ongoing discussion about the drawbacks and merits of horizontal exchange integration.

The purpose of this paper is to present and empirically test for the first time the hypothesis that herding in a market increases following the market's merger in an exchange group.

The hypothesis is tested empirically in EURONEXT's four European equity markets (Belgium, France, the Netherlands and Portugal) on the premise of the Hwang and Salmon (2004) measure which allows us insight into the significance, structure and evolution of market herding. Tests are conducted for each market for the period prior to and after its merger into EURONEXT, controlling for a series of variables (market conditions, common risk factors, size) to gauge the robustness of the findings.

Results indicate that, with the exception of Portugal, herding grows in significance, yet declines in momentum post-merger. The authors ascribe the findings to EURONEXT's enhanced transparency (which makes it easier for investors to observe their peers’ trades, thus allowing them to infer and free-ride on their information) and its fast-moving informational dynamics that render herding movements shorter-lived. These results are robust when controlling for various market states and common risk factors, with deviations being observed when controlling for size and market volatility.

The study presents results for the first time on the impact of exchange mergers on herd behavior. The authors believe these to constitute useful stimulus for further research on the issue and bear important implications for regulators/policymakers in view of the ongoing proliferation of exchange mergers that has been underway since the 1990s.

Financial derivatives markets are a relatively new development globally. In the USA, the first commodity derivatives trading began in Chicago at the Chicago Board of Trade in 1849. However, the first financial derivatives trading did not begin until 1972, when the Chicago Mercantile Exchange began trading futures contracts on seven foreign currencies. These were the world's first official financial futures contracts. In Europe, the oldest financial derivatives market was the London International Financial Futures Exchange, or LIFFE, which began trading financial futures in 1982.

The aim of this paper is to study both the information content of accounting figures and the speed at which the new information is incorporated into stock prices.

The sample is composed of 117 overnight announcements published by Reuters during the period 2001‐2003. For every date, the event is classified into one of three categories: good news, bad news or no news. The paper uses intraday event study methodology to examine market reaction just before and just after the event.

The intraday analysis reveals several results. Firstly, investors react positively to good news and negatively to bad news. Secondly, abnormal returns dissipate within 15 min. Thirdly, prices converge to equilibrium more quickly for good news than for bad news. Fourthly, we present evidence of price reversal 30 min following bad news announcements. Finally, earnings releases are accompanied by a rise in volume which remains even after the equilibrium price is attained.

Price discovery is analyzed only in the stock market. It is pertinent to verify if the option market and foreign markets can contribute to the incorporation of new information into stock prices.

This work can help investors to determine their trading strategies around earnings announcements. The paper shows that it is not possible to realize trading profits after 15 min following the time of the announcement.

The study contributes to both financial accounting and microstructure literature. First, it focuses on the information content of accounting figures using very short horizon (intraday analysis). Second, the paper sheds light on the role of the Euronext preopening period in the incorporation of the overnight information flow.

This paper's aim is to test for the presence of fractional integration, or long memory, in the daily returns of the Portuguese stock market using autoregressive fractionally integrated moving average (ARFIMA), generalised autoregressive conditional heteroskedasticity (GARCH) and ARFIMA‐FIGARCH models.

The data cover two periods: 4 January 1993‐13 January 2006 (full sample), and 1 February 2002‐13 January 2006 (that is, data are considered after the merger of the Portuguese Stock Exchange with Euronext).

The results from the full sample show strong evidence of long memory in stock returns. When data after the merger are considered, weaker evidence of long memory is found. It is concluded that the Portuguese stock market is more efficient after the merger with Euronext.

The findings of this paper are helpful to financial managers and investors dealing with Portuguese stock indices.

The purpose of this paper is to bridge the gap between the existing theoretical and empirical studies by examining the asymmetric return–volume relationship. Indeed, the authors aim to shed light on the return–volume linkages for French-listed small and medium-sized enterprises (SMEs) compared to blue chips across different market regimes.

This study includes both large capitalizations included in the CAC 40 index and listed SMEs included in the Euronext Growth All Share index. The Markov-switching (MS) approach is applied to understand the asymmetric relationship between trading volume and stock returns. The study investigates also the causal impact between stock returns and trading volume using regime-dependent Granger causality tests.

Asymmetric contemporaneous and lagged relationships between stock returns and trading volume are found for both large capitalizations and listed SMEs. However, the causality investigation reveals some differences between large capitalizations and SMEs. Indeed, causal relationships depend on market conditions and the size of the market.

This paper explains the asymmetric return–volume relationship for both large capitalizations and listed SMEs by incorporating several psychological biases, such as the disposition effect, investor overconfidence and self-attribution bias. Future research needs to deepen the analysis especially for SMEs as most of the literature focuses on large capitalizations.

This empirical study has fundamental implications for portfolio management. The findings provide a deeper understanding of how trading activity impact current returns and vice versa. The authors’ results constitute an important input to build and control trading strategies.

This paper fills the literature gap on the asymmetric return–volume relationship across different regimes. To the best of the authors’ knowledge, the present study is the first empirical attempt to test the asymmetric return–volume relationship for listed SMEs by using an accurate MS framework.

While China is currently moving toward the full development of its own financial derivatives markets, to date, China's experience with these has been a negative one. This paper examines the importance to China of developing a fully integrated financial derivatives market from both the economic and financial market perspectives. It examines the best way forward for derivative trading, both market based and over-the-counter, and the types of products best suited to both, given the current state of the Chinese financial markets. Consideration is given to market structure, regulation, trading and settlement systems and international cooperation.

This paper aims to study the interlinkages between cryptocurrency and the stock market by characterizing their connectedness and the effects of the COVID-19 crisis on their relations.

The author employs a quantile vector autoregression (QVAR) to identify the connectedness of nine indicators from January 1, 2018, to December 31, 2021, in an effort to examine the relationships between cryptocurrency and stock markets.

The results demonstrate that the pandemic shocks appear to have influences on the system-wide dynamic connectedness. Dynamic net total directional connectedness implies that Bitcoin (BTC) is a net short-duration shock transmitter during the sample. BTC is a long-duration net receiver of shocks during the 2018–2020 period and turns into a long-duration net transmitter of shocks in late 2021. Ethereum is a net shock transmitter in both durations. Binance turns into a net short-duration shock transmitter during the COVID-19 outbreak before receiving net shocks in 2021. The stock market in different areas plays various roles in the short run and long run. During the COVID-19 pandemic shock, pairwise connectedness reveals that cryptocurrencies can explain the volatility of the stock markets with the most severe impact at the beginning of 2020.

Insightful knowledge about key antecedents of contagion among these markets also help policymakers design adequate policies to reduce these markets' vulnerabilities and minimize the spread of risk or uncertainty across these markets.

The author is the first to investigate the interlinkages between the cryptocurrency and the stock market and assess the influences of uncertain events like the COVID-19 health crisis on the dynamic interlinkages between these two markets.

本學術論文擬透過找出加密貨幣與股票市場兩者相互關聯之特徵,來探討這個聯繫;文章亦擬探究2019冠狀病毒病全球大流行對這相互關聯的影響。

作者以分量向量自我迴歸法、來找出2018年1月1日至2021年12月31日期間九個指標的關聯,藉此探討加密貨幣與股票市場之間的關係。

研究結果顯示,全球大流行的驚愕,似對全系統動態關聯產生了影響。動態總淨值定向關聯暗示了就我們的樣本而言,比特幣是一個純短期衝擊發送器。比特幣在2018年至 2020年期間是一個衝擊的長期純接收器,並進而於2021年年底成為一個衝擊的長期純發送器。以太坊則為短期以及長期之純衝擊發送器。幣安在2019冠狀病毒病爆發期間,在2021年接收純衝擊前、成為一個純短期衝擊發送器。位於不同地區的股票市場,無論在短期抑或長期而言均扮演各種不同的角色。在2019冠狀病毒病全球大流行的驚愕期間,成對的關聯顯示了加密貨幣可以以2020年年初最嚴重的影響去解釋和說明股票市場的波動。

研究結果使我們能深入認識有關的市場之間不同情緒和看法的蔓延所帶來的影響的主要先例,這些知識、亦能幫助決策者制定適當的政策,以減少有關的市場的弱點,並把這些市場間的風險和不確定性的散播減到最低。

作者是首位研究加密貨幣與股票市場之間的相互關聯的學者,亦是首位學者、去評估像2019冠狀病毒病健康危機的不確定事件,會如何影響有關的兩個市場之間的動態相互關聯。

This paper aims to explore the trade-off between liquidity, risk and return under sectoral diversification across distinct economic settings and investment strategies.

A novel multi-objective portfolio model is proposed to assess investment decisions under sectoral diversification, where the objective functions and constraints are interval-valued. The objective functions used are risk minimization (through the semi-absolute deviation measure of risk), maximization of liquidity (using turnover as a proxy) and the maximization of logarithmic return. Besides coherence constraints (imposing that the sum of the percentages of investment assigned to each stock should be equal to 100%), constraints regarding the maximum proportion of capital that can be invested (ensuring a minimum level of diversification) and cardinality constraints (to account for transaction costs) are also imposed.

Besides the trade-off between return and risk, the study findings highlight a trade-off between liquidity and return and a positive relationship between risk and liquidity. Under an economic crisis scenario, the trade-off between return and liquidity is reduced. With the economic recovery, the levels of risk increase when contrasted with the setting of the economic crisis. The highest liquidity levels are reached with the economic boom, whereas the highest returns are obtained with the economic recession.

This paper suggests a new modeling approach for assessing the trade-offs between liquidity, risk and return under different scenarios and investment strategies. A new interactive procedure inspired on the reference point approach is also proposed to obtain possibly efficient portfolios according to the investor's preferences. Regarding previous approaches suggested in the literature, this new procedure allows obtaining both supported and unsupported efficient solutions when cardinality constraints are included.

The purpose of this paper is to present an overview of weather derivatives markets and to highlight the importance of the contributing factors for weather risk management such as weather sensitivity, weather forecast, and economic growth. In this paper, the prospective of using weather derivatives in Portugal and why Portugal should use such instruments as well as the potential of Portugal's enterprises are presented.

This paper attempts to distinguish the reasons for the appearance of a weather derivatives market and the growth potential of the European weather market.

Successful development of a Portuguese weather derivatives market will require three things. For the successful development of weather derivatives market, a legal and economic framework is needed, as well as the development of new weather products, training of qualified specialists for working with these instruments and attracting companies interested in hedging their profits. A combination of these factors will help growth and will accelerate the development of a weather derivatives market in Portugal.

The paper identifies some conditions that could allow the progress of the weather derivatives market in Portugal.