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This study aimed to investigate return and volatility spillover between the Borsa Istanbul (BIST) and the Moscow Stock Exchange (RTS).

This study used generalized autoregressive conditionally heteroscedasticity (GARCH) model for volatility and the Aggregate Shock (AS) model for return and volatility spillover. The data are divided into six sub-periods. Period events take place between Turkey and Russia.

BIST investors considered the return and volatility of the RTS, it is observed that Moscow Stock Exchange investors considered only the return of BIST at the full sample. It is only a return spillover from BIST to RTS and neither the return nor the volatility of the RTS is spillover to BIST in the pre-crisis period. No evidence of return and volatility spillover between the BIST and the RTS in the post-crisis period. The returns and volatility spillovers between Russia and Turkey are mutual feedback in the jet crisis period.

Economic developments between Turkey and Russia is growing rapidly in recent years. The return and volatility analysis between the stock exchanges of these two countries is important for investment decisions.

There are many studies in the literature about emerging markets. There are also Turkish and Russian stock exchanges in these studies. However, this study only examined return and volatility spillover analysis between the Turkish and Russian stock exchanges and prevents the results from being overlooked among other countries.

The purpose of this paper is to explore the functioning of very‐large‐scale integration (VLSI) interconnects and modeling of interconnects and evaluate different approaches of testing interconnects.

In the past, on‐chip interconnect wires were not considered in circuit analysis except in high precision analysis. Wiring‐up of on‐chip devices takes place through various conductors produced during fabrication process. The shrinking size of metal‐oxide semiconductor field effect transistor devices is largely responsible for growth of VLSI circuits. With deep sub‐micron (DSM) technology, the interconnect geometry is scaled down for high wiring density. The complex geometry of interconnects and high operational frequency introduce wire parasitics and inter‐wire parasitics. These parasitics causes delay, power dissipation, and crosstalk that may affect the signal integrity in VLSI system. Accurate analysis, sophisticated design, and effective test methods are the requirement to ensure the proper functionality and reliability of VLSI circuits. The testing of interconnect is becoming important and a challenge in the current technology.

The effects of interconnect on signal integrity, power dissipation, and delay emerges significantly in DSM technology. For proper performance of the circuit, testing of interconnect is important and emerging challenge in the nanotechnology era. Although some work has been done for testing of interconnect, however, it is still an open area to test the parasitics effects of VLSI/ultra‐large‐scale integration interconnects. Efforts are required to analyze and to develop test methods for crosstalk, delay and power dissipation in current technology with solutions to minimize this effect.

This paper reviews the functioning of VLSI interconnects from micrometer to nanometer technology. The development of various interconnect models from simple short circuit to latest resistance inductance capacitance transmission line model are discussed. Furthermore, various methodologies such as built‐in self test and other techniques for testing interconnect for crosstalk and delay are discussed.

This study searches for sentimental herding in Borsa Istanbul (BIST) during the last decade using a state-space model employing cross-section standard deviations of systematic risk (Beta). It has been found that herding toward the market in the BIST-100 is both statistically significant and persistent independently from market fundamentals such as the volatility of returns and the levels of market returns. Herding trends over the sample period indicate that the financial crisis in 2000–2001 appeared to bring about sentimental herding in BIST which was followed by a calm period during which investors turned to fundamentals. Thereafter, we observe a volatile adverse herding pattern till the end of 2011 due to the confusing environment caused by the internal and external events.

Purpose: Investors and portfolio managers can earn profitably when they correctly predict when stock prices will go up or down. For this reason, it is crucial to know the effect levels of the factors that affect stock prices. In addition to macroeconomic factors, the psychological behavior of investors also affects stock prices. Therefore, the study aims to reveal the different sensitivity levels of the stock index against macroeconomic and psychological factors.

Design/Methodology/Approach: In this study, dollar rate (USD), euro rate (EURO), time deposit interest rate (IR), gold price (GOLD), industrial production index (IPI), and consumer price index (CPI) (inflation (INF)) were used as macroeconomic factors, while Consumer Confidence Index (CCI) and VIX Fear Index (VIX) were used as psychological factors. In addition, the BIST-100 index, which is listed in Borsa Istanbul, was used as the stock index. The sensitivity of the stock index to macroeconomic and psychological factors was investigated using the Multivariate Adaptive Regression Spline (MARS) method using data from January 2012 to October 2020.

Findings: In the analyses performed using the MARS method, the coefficients of INF, USD, EURO, IR, CCI, and VIX Index were found to be statistically significant and effective on the stock index. Among these variables, INF has the highest effect on stocks. It is followed by USD, IR, EURO, CCI, and VIX. GOLD and IPI variables did not show statistical significance in the model. The most important difference of the MARS model from other regressions is that each factor’s effect on the stock index is analyzed by separating it according to the value of the factor. According to the results obtained from the MARS model: (1) it has been determined that USD, EURO, IR, and CPI have both positive and negative effects on the stock market index and (2) CCI and VIX have been found to have negative effects on stocks. These results provide essential information about how investors who plan to invest in the stock index should take into consideration different macroeconomic and psychological values.

Originality/value: This study contributes to the literature as it is one of the first studies to examine the effects of factors affecting the stock index by decomposing it according to the values it takes. Also, this study provides additional information by listing the factors affecting the stock index in order of importance. These results will help investors, portfolio managers, company executives, and policy-makers understand the stock markets.

Introduction – The rapid flow of information between the markets eliminates the possibility of diversifying the portfolio by bringing the markets closer, and may cause the volatility in a market to spread to another market. In this context, revealing the relationships between conventional and participation markets or financial assets is important in terms of portfolio diversification and risk management.

Purpose – The major aim of this work is to analyse the existence of volatility spillover between conventional stock index and participation index based on the indexes in Turkish Capital Markets. BIST-30 and Katılım-30 indexes are used as the representatives of conventional stock index and participation index, respectively.

Methodology – Firstly, the univariate HYGARCH (1,d,1) parameters are calculated, and secondly, the dynamic equicorrelation (DECO) methodology is applied. DECO model is proposed to simplify structural assumptions by introducing a structure in which all twosomes of returns take the same correlation for a given time period. In this way, DECO model enables to have an optimal portfolio selection in comparison to an unrestricted time varying-dynamic correlation approaches and gives more advanced forecasting ability for the duration of the financial crisis periods compared to the various portfolios.

Findings – There is a strong correlation between BIST-30 and Katılım-30. They are affected by the same shocks. We expect to see different investor behaviours for Katılım-30 and BIST-30. However, they seem to have almost the same investor profile. In addition, there is a causality in both ways and volatility spillover between them.

The purpose of this study is to investigate the effects of ownership structure, board attributes and eXtensible Business Reporting Language (XBRL) on annual financial reporting timeliness of non-financial companies listed on Borsa Istanbul (BIST).

To conduct the analyses, the authors used two samples. The main sample consists of 187 companies, while the subsample includes 54 companies in the BIST 100 index. The data set covers the 2010–2018 period. To investigate the influence of ownership structure, board attributes and XBRL on timeliness, panel regression and univariate analyses were used. To explore the factors associated with the likelihood of late filing, panel logistic regression analyses were employed.

The findings provide evidence that companies that have a high level of institutional ownership and women board membership file earlier. In line with prior studies, profitable companies file their accounts faster. Highly leveraged companies are late reporters. Further, XBRL has a positive influence on the filing of financial reports for the BIST 100 companies due to technological agility. Finally, companies that have less institutional ownership and that get qualified audit opinions are more subject to late filing.

The authors acknowledge that this study has certain limitations. First, the results may not be generalized to the entire BIST population due to the exclusion of financial companies from the samples. Future research may explore the financial reporting timeliness of these companies. Second, the study did not investigate the relationship between timeliness and the information content in financial statements and the market reactions they arouse. Third, this study is trying to find out early evidence on the mandatory adoption of XBRL filings, which cover only three-year period due to the recent implementation of this regulatory practice. Thus, it needs further elaboration after the accumulation of data in the forthcoming years by the expansion of the sample beyond the 2016–2018 period. As companies would have more time to become familiar with XBRL, a more reliable conclusion may be drawn. Further, the study particularly focuses on the effect of XBRL adoption on the timeliness among filers. XBRL could also influence investors, auditors and other stakeholders. Future research could investigate the influence of XBRL on different stakeholders to produce more insightful implications.

This study offers several implications for managers, regulators and policy makers. First, companies that do not make timely financial reporting may find it more difficult to attract long-term capital by means of institutional investors. Since these investors view timely reporting as an ideal ingredient in corporate governance, it may have a positive impact on company reputation and corporate sustainability. The results also provide insights for regulatory authorities, policy makers and auditors on the causes of the reporting lag, thereby increasing their awareness and helping them in their decision-making process since improvements in timely availability and accessibility of financial information reduce information asymmetry for users and increase market efficiency. Additionally, companies that reduce their filing timeframe will be able to compare their results with other companies. However, the XBRL mandate could be much more burdensome to smaller firms. This may stem from the fact that larger firms may tend to use the in-house approach for XBRL and can afford more advanced financial reporting systems with automated coding algorithms attached to streamline their XBRL filings, whereas smaller firms are more likely to use the outsourcing approach due to the difference in the level of resources available for XBRL preparation. This finding also lends support to recent concerns that new technology creates an unleveled benefit in reporting efficiency for large companies, but not for small ones (e.g. Blankespoor et al., 2014). This benefit may change the dynamics of the financial market and information environment, leading to further segmentation of the capital markets. The positive effects of XBRL adoption may accrue over time due to the potential benefits of learning curve experience since the XBRL mandate will help companies automate their reporting process and information processing, thereby strengthening internal control over financial reporting (Deloitte, 2013; Du et al., 2013; Li, 2017). Companies may also efficiently incorporate auditor-proposed adjustments by cross-referencing impacted accounts and prepare revised versions of the financial reports, which are automatically rendered in various formats for auditors to assess (Wu and Vasarhelyi, 2004). Finally, investors and other users of financial information benefit from having quicker access to data, since this allows them to make more timely and reliable decisions, leading to greater benefits.

This paper contributes to the literature on the impact of adopting XBRL on the timeliness of financial reporting in emerging markets. Second, this study extends the literature and provides evidence on determinants of timeliness, covering both ownership structure and board attributes besides firm-specific characteristics. Hence, it provides valuable insights for companies, investors, auditing firms and policy makers.

This paper aims to analyze the impact of price-limit hits by hit type and when such hits start and stop using intraday trades and quotes at a one-second frequency for firms included in the BIST-50 index during the 13-months starting with March 2008. Like the recent COVID-19 period, this period includes the heightened stress in global financial markets in September 2008.

Using intra-day trades and quotes at a one-second frequency, the authors examine the market effects of price limits for firms included in the BIST-50 index during the global financial crisis. The authors compare the values of various metrics for 60 min centered on price-limit hit periods. The authors conduct robustness tests using auto regressive integrated moving average (ARIMA) models with trade-by-trade and with 3-min returns.

The findings are supportive of the following hypotheses: magnet price effects, greater informational asymmetric effects of market quality and each version of price discovery. Results are robust using samples differentiated by cross-listed status, same-day quotes instead of transaction prices and equidistant and trade-by-trade returns.

The authors use intraday data to reduce measurement error that is particularly pronounced when daily data are used to assess price limits that start and/or stop during a trading session. The authors contribute to the micro-structure literature by using ARIMA models with trade-by-trade and 3-min returns to alleviate some bias due to the autocorrelations in returns around price-limit hits in the presence of a magnet effect. The authors include some recent regulation changes in various countries to illustrate the importance of circuit breakers using price limits during COVID-19.

This study is concerned with markets operating in Turkey in the Istanbul Stock Exchange (BIST), which have been observed and studied in relation to herd behavior. During the research part of the study, the existence of herd behavior was investigated with the help of the daily closing price data of the firms in BIST between January 2011 and December 2017. In the research section of the study, the authors used regression analysis. In the analysis, the authors used the index value of the BIST whole Index. The average value of the index value of BIST whole Index was taken. Then, according to this average, 1% percentile and 5% percentile were taken. In the periods in the 1% percentile (at the dates) the result was that herd behavior was present. The herd behavior was observed for the periods (for dates) included in the percentile of 1%. On the other hand, the results of the analysis for the 5% percentile show that the herd behavior is only seen in the upper extremes.

This paper aims to compare two groups of stocks to analyze the efficiency of an ethical portfolio in comparison with a conventional portfolio.

Efficiency test by second-order stochastic dominance (SSD) approach is applied on two groups, which consist of 12 stocks. Ethical portfolio is chosen from the stocks complying with the participation banking rules. Conventional portfolio is selected from Borsa Istanbul (BIST) with choosing the corresponding stocks for each ethical stock according to the sector and market capitalization. All the stocks of both groups are pairwise SSD compared.

Both groups of 12 stocks are inefficient portfolios; however, a group of 7 stocks constitute an efficient ethical portfolio with the total weight of 50.82 per cent among the set of 12 ethical stocks. On the other hand, a group of 6 stocks constitute an efficient conventional portfolio, with the total weight of 45.16 per cent among the set of 12 conventional stocks. By pairwise SSD comparison of corresponding stocks from both groups, despite none of the conventional stocks dominate ethical stocks, four ethical stocks dominated the conventional ones.

Back-testing and comparison with benchmark BIST 100 Index have been done for the selected portfolios. According to back-testing results, groups of SSD efficient stocks outperformed the groups, from which they were selected. Furthermore, both SSD efficient portfolios have higher returns than benchmark index, BIST 100.

The purpose of this paper is to show that major reversals of an index (specifically BIST-30 index) can be detected uniquely on the date of reversal by checking the extreme outliers in the rate of change series using daily closing prices.

The extreme outliers are determined by checking if either the rate of change series or the volatility of the rate of change series displays more than two standard deviations on the date of reversal. Furthermore; wavelet analysis is also utilized for this purpose by checking the extreme outlier characteristics of the A1 (approximation level 1) and D3 (detail level 3) wavelet components.

Paper investigates ten major reversals of BIST-30 index during a five year period. It conclusively shows that all these major reversals are characterized by extreme outliers mentioned above. The paper also checks if these major reversals are unique in the sense of being observed only on the date of reversal but not before. The empirical results confirm the uniqueness. The paper also demonstrates empirically the fact that extreme outliers are associated only with major reversals but not minor ones.

The results are important for fund managers for whom the timely identification of the initial phase of a major bullish or bearish trend is crucial. Such timely identification of the major reversals is also important for the hedging applications since a major issue in the practical implementation of the stock index futures as a hedging instrument is the correct timing of derivatives positions.

To the best of the author’ knowledge; this is the first study dealing with the issue of major reversal identification. This is evidently so for the BIST-30 index and the use of extreme outliers for this purpose is also a novelty in the sense that neither the use of rate of change extremity nor the use of wavelet decomposition for this purpose was addressed before in the international literature.