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This paper discusses whether institutional investors change the shareholding ratio of listed companies through research meeting, and whether this active investment mode can really improve the investment efficiency of institutional investors.

Using empirical research method, this study designs and conducts an empirical research according to empirical research's basic norms. Thus, we acquire needed and credible empirical data. This study analyzes whether institutional investors seek their private interest in researched companies by analyzing their research meetings and the shareholding ratios of different types of institutional investors using Shenzhen Stock Exchange data on listed firms from 2014 to 2018.

This study finds that the research meetings of institutional investors provide participants with reliable information which supports the decision of institutional investors to change their shareholding ratio. The stock price growth rate strengthens the positive correlation between the research meetings of institutional investors and the shareholding ratio of institutional investors. Additionally, transactional institutional investors increase the shareholding ratio, while holding institutional investors do not.

This paper combines the behavior of institutional investors with the holding status of institutional investors, and discusses the impact of institutional investors' behavior on investment decisions. At the same time, it classifies the institutional investors and discusses the attitude of different types of institutional investors towards this active investment mode.

Rapid stock market growth without real economic back-up has led to the 2015 Chinese Stock Market Crash with thousands of stocks hitting the down limit simultaneously multiple times. The authors provide a detailed analysis of structural breaks in heavy-tailedness and asymmetry properties of returns in Chinese A-share markets due to the crash using recently proposed robust approaches to tail index inference. The empirical analysis points out to heavy-tailedness properties often implying possibly infinite second moments and also focuses on gain/loss asymmetry in the tails of daily returns on individual stocks. The authors further present an analysis of the main determinants of heavy-tailedness in Chinese financial markets. It points out to liquidity and company size as being the most important factors affecting the returns’ heavy-tailedness properties. At the same time, the authors do not observe statistically significant differences in tail indices of the returns on A-shares and the coefficients on factors affecting them in the pre-crisis and post-crisis periods.

This paper aims to provide new empirical evidence on the non-performing loan (NPL) determinants of the EU conventional banks, in the context of macroeconomic factors, dimensions of country governance and bank-specific characteristics.

The panel data sets of 1,053 conventional banks were obtained over the period of 2007-2016. The Hodrick–Prescott filter was adopted to extract business cycle and credit cycle from real gross domestic product and credit to the private non-financial sector, correspondingly. System-generalised methods of moment was then used to identify the significant determinants of NPL.

The empirical results reveal that NPL is primarily driven positively by lagged-one NPL and risk profile. In consonance with the skimping hypothesis, NPL has a significant positive relationship with the cost efficiency. The empirical finding of the business cycle coincides with the Austrian business cycle theory. Particularly, NPL is relatively low during rapid economic growth of credit-sourced business boom. Whereas, business bust happens when credit creation runs its course and is associated with high NPL. This paper encapsulates that NPL is driven by not only macroeconomic factors and bank-specific characteristics but also the dimensions of country governance.

Policymakers should introduce policies that are geared towards proper dimensions of country governance.

The novelty of this research does not rely on the multidimensions of NPL determinants but on the disentanglement of the conventional banks with dual identity (i.e. Islamic banks, cooperative banks and ethical banks). It considers business cycle, credit cycle and previous NPL as the potential determinants.

In a typical strategy course, growth strategies like mergers and acquisitions (corporate strategy) are introduced in the second half of the course. To analyze the case, students will use strategies such as Porter’s five forces and resource-based view and will discuss why firms pursue mergers as a growth strategy, along with sources of synergies and risks in mergers. Finance theory used includes analyzing a given discounted cash flow analysis and perform a comparable multiples analysis to find the value of a merger target.

The industry and financial information in the case comes from publicly available sources, including company 10K reports, business press reports and publicly available industry reports. The information about Lockheed Martin’s strategy comes from interviews with Peter Clyne, former vice president for Lockheed Martin’s IS&GS division. He then held the same position for Leidos Holding Corp., after the IS&GS division was divested and incorporated into Leidos.

This case is an interdisciplinary case containing aspects of strategy and finance. Lockheed Martin made a strategic move in 2016, to divest its Information Systems & Global Strategies Division (IS&GS), which engaged in government consulting, primarily in the defense and aerospace industries. Lockheed wanted to reassess its decision to divest consulting, given the high growth rates expected in this business, particularly in cybersecurity consulting. On the other hand, if Lockheed decided to maintain its hardware focus, it wanted to expand its offerings. In addition to a strategy analysis, two possible target firms can be analyzed: Fortinet and Maxar.

This case raises a broad set of issues related to the evaluation of M&A transactions across two different industries and corporate strategy, as it relates to strategic fit of the potential targets and LM’s current capabilities. It is appropriate for the core course in strategy at the MBA or senior undergraduate level. It can also be assigned to specialized courses in Mergers and Acquisitions. It is not appropriate for a lower level strategy or finance course, as it requires students to have prior knowledge of basic finance valuation techniques.

The purpose of this paper is to provide a detailed framework of goals, processes and solutions that can serve as a starting point for instructors in designing their own student-managed investment fund (SMIF) course experience that is relevant for all undergraduate business majors.

The design is suitable for a wide audience without prior equity investment expertise, lead to equity portfolio management competency and concentrate heavily on the understanding of the elements of a competitive business model. One noteworthy aspect of the proposed pedagogy is that it does not require a text, uses only real-world resources and is flexible in its execution.

The proposed pedagogy has achieved long-term success by consistently exceeding performance expectations.

According to the extant literature, many SMIFs are restricted to only a few students, develop skills unevenly across class participants, or are not formally organized or executed. There is a lack of in-depth and specific resources available in the extant literature to assist course designers in an SMIF design and execution. This manuscript fills this void by providing a detailed framework of goals, processes and solutions that can serve as a starting point for instructors in designing their own SMIF course experience.

This paper aims to examine whether idiosyncratic volatility and other asset pricing factors predict growth rates of the ten Australian economic indicators.

The authors use the Liew and Vassalou (2000) model augmented with an idiosyncratic volatility factor to investigate the issue.

Using regression analysis, the authors find that the asset pricing factors can be used to predict the growth rates for eight out of the ten economic indicators. Moreover, using portfolio performance analysis, the authors find that high returns of size factor and a book-to-market factor portfolios precede periods of good macroeconomic states, whereas high returns of HIMLI portfolios precede periods of bad macroeconomic states.

To the authors’ knowledge, the relationship between idiosyncratic volatility and Australian economic growth has not been investigated explicitly in the literature.

This research essentially aims to examine the extent to which macroeconomic factors (including interest rate, inflation rate, exchange rate, and GDP growth rate) have a positive influence on stock price and the level of significance for that influence. The researchers focused more on real estate and property companies that are listed on the Indonesian Stock Exchange, with consideration for the stock price of real estate and property companies listed on the Indonesia Stock Exchange (IDX) as the most volatile stock during those years (and its market capitalization was the largest during 2012). This study finds that interest rate, inflation rate, exchange rate, and GDP growth rate, as composite variables, have a significant influence on stock price. A partial test revealed that interest rate, inflation rate, and exchange rate have significance on stock price, while GDP growth rate is found to be nonsignificant.

I survey applications of Markov switching models to the asset pricing and portfolio choice literatures. In particular, I discuss the potential that Markov switching models have to fit financial time series and at the same time provide powerful tools to test hypotheses formulated in the light of financial theories, and to generate positive economic value, as measured by risk-adjusted performances, in dynamic asset allocation applications. The chapter also reviews the role of Markov switching dynamics in modern asset pricing models in which the no-arbitrage principle is used to characterize the properties of the fundamental pricing measure in the presence of regimes.