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The members of the chapter at the annual meeting held on 27 November 1992 in Brno decided not to split after the separation of Czechoslovakia. It was suggested to organise a larger chapter from the Central European States to provide greater co‐operation and better functioning of the smaller chapters. A new name for the chapter was proposed — Central European Chapter (CEC) — to express neutrality and to point out that the chapter is open to other neighbouring chapters and to new members from the states where no national chapter yet exists.

The purpose of this paper is to describe two new thick film paste systems (one glass‐based and the other polymer‐based) for insulating aluminium substrates and allowing components like high‐intensity light‐emitting diodes to be attached to a conductor deposited on the dielectric.

Comparative measurements of the thermal resistance of different substrates mounted with metal‐oxide semiconductor field‐effect transistors were made.

The thermal advantages of these two technologies have been proved.

This paper presents useful comparative data from a replicated application using different combinations of substrates. The paper shows how the superior properties of the two new systems have been proven by thermal resistance measurements. From a thermal point of view, it is only the expensive 4 W m⁻¹ K⁻¹ insulated metal substrate that competes with the “low cost” systems.

The study examines the IPO resilience grounded on the firm’s intrinsic factors.

We examine the association of IPO performance and post-listing firm’s performance with issuers' pre-listing financial and qualitative traits using panel data regression.

IPOs floated in the Indian market from July 2009 to March 31, 2022, evince the notable influence of issuers' pre-IPO fundamentals and legitimacy traits on IPO returns and post-listing earning power. Where the pandemic’s favorable impact is discerned on the post-listing year earning power of the issuer firms, the loss-making issuers appear to be adversely affected by the Covid disruption. Perhaps, the successful listing equipped the issuers with the financial flexibility to combat market challenges vis-à-vis failed issuers deprived of desired IPO proceeds.

High initial returns followed by a declining pattern substantiate the retail investors to be less informed vis-à-vis initial investors, valuers and underwriters, who exit post-listing after profit booking. Investing in the shares of the newly listed ventures post-listing in the secondary market can shield retail investors from the uncertainty losses of being uninformed. The IPO market needs stringent regulations ensuring the verification of the listing valuation, the firm’s credentials and the intent of utilizing IPO proceeds. Healthy development of the IPO market merits reconsidering the listing of ventures with weak fundamentals suspected to withstand the market challenges.

Given the tremendous rise in the new firm venturing into the primary market and the spike in IPOs countering the losses immediately post-opening, the study examines the loss-making and young firms IPOs separately, adding novelty to the study.

The LA/Ventura Annual Workshop was held on 22 June on the theme ‘Fine Line and Military Requirements’. Four workshops were conducted simultaneously on the following aspects: Mechanical, Imaging, Wet Process, Quality.

The purpose of this study is to evaluate the impact of ASU 2016–01 on the predictive value, the confirmatory value and the value relevance of earnings. One of the key provisions of ASU 2016–01 is the requirement that all changes in unrealized gains and losses on all equity securities are recognized in income instead of other comprehensive income (OCI) as under prior guidance (SFAS 115). Because many companies in the insurance industry are large holders of equity securities, the sample for this study consists of firms from the insurance industry.

The author compares the change in earnings volatility and analysts’ forecast error for the periods before and after adoption of ASU 2016–01, and the relationship between the percentages of assets invested in equity securities for both earnings volatility and analysts’ forecast error. Further, the author tests the price reaction at the time of the release of earnings using an event study. The author also tests the value reliance of earnings measured by the correlation of earnings and stock prices, as well as the change in earnings and stock returns. The association between investment gain/loss components of earnings, and OCI, with stock prices and returns is tested for value relevance.

The findings of this study show that earnings volatility and analysts’ forecast errors increased in the period after adopting ASU 2016–01 and an initial overreaction to earnings releases. Further, the investment gain/loss components of earnings and OCI are not value-relevant in this study and including unrealized gains/losses on equity securities in income decreased value relevance of earnings in the post-adoption period, particularly for firms with large equity investment portfolios.

This study is limited to one industry and only represents the impact of ASU 2016–01 on that industry. Thus, there are opportunities to extend the research to other industries. Furthermore, the time-period of study since adopting ASU 2016–01 is limited to only two years and with the passage of time, a greater sample of post-ASU 2016–01 will be available for testing.

Standard setters considering recognizing fair value changes on all investment securities in income should consider the findings of this study. Further, industry participants affected by ASU 2016–01 should consider improving explanation of earnings to mitigate the initial misunderstanding of earning announcements found in this study.

To the best of the author’s knowledge, this is the first study on the effects of ASU 2016–01 on volatility of earnings, earnings forecast errors, market reactions to earnings releases and the value relevance of earnings. This paper fills a gap in prior research by studying the effects of fair value on reported earnings, which is limited in prior research. This study contributes to the growing field of research on fair value accounting.

The purpose of this paper is to examine the antecedents of customer satisfaction during mortgage purchases. Mortgage demand in the USA has reached an all-time high because of an increase in housing demand after COVID-19. Nonetheless, several customers are dissatisfied with their service providers. Customers who actively search the market gain more information about mortgage providers and use this information to define expectations for lenders. The only way there will be customer satisfaction is if lenders meet these expectations. Therefore, it is economically significant for mortgage lenders to discover the antecedents of mortgage satisfaction.

In this study, the partial least squares approach was used to test the hypothesis that satisfaction was influenced by objective knowledge, familiarity and search intensity among a sample of customers (n = 4,512) from the National Survey of Mortgage Originations who had purchased a mortgage in the USA between 2019 and 2020.

The results of structural modelling showed that familiarity (β = 0.23 and p = 0.01) with and knowledge (β = 0.16 and p = 0.01) of mortgages significantly affected consumer satisfaction during mortgage purchase. Search intensity (p = 0.01) mediated the relationship between knowledge, familiarity and satisfaction.

The primary implication is that mortgage service providers should prioritise educating customers about the mortgage buying process on their websites and in person. So managers must actively assist clients in having realistic expectations. Second, mortgage companies should establish a presence on third-party mortgage comparison websites to ensure that customers actively consider alternatives, thereby increasing customer satisfaction.

This study is unique in being an exploratory study to examine the antecedents of mortgage satisfaction using a public data set. This study uniquely examines the National Survey of Mortgage Originations data set with partial least squares approach to examine underlying customer attitudes.

This study aims to evaluate the earnings forecasting models of Hou et al. (J Account Econ, 53:504–526, 2012) and Li and Mohanram (Rev Account Stud, 19:1152–1185, 2014) in terms of bias and accuracy and validity of the implied cost of capital (ICC) estimates for a sample of initial public offerings (IPOs).

The authors use a sample of 1,657 NYSE, Amex and Nasdaq IPOs from 1972 to 2013.

The models of Hou et al. and Li and Mohanram produce relatively inaccurate and biased earnings forecasts, leading to unreliable ICC estimates, particularly for small and loss-making IPOs that constitute the bulk of new listings. As a remedy, the authors propose a new earnings forecasting model, a combination of Hou et al.’s and Li and Mohanram’s earnings persistence models, and show that it produces more accurate and less biased earnings forecasts and more valid ICC estimates.

The study contributes novel results to the literature on the validity of cross-sectional earnings models in forecasting IPO firm earnings and estimating the ICC. The findings are directly relevant for practitioners, who can improve their earnings forecasting accuracy for IPO firms and related ICC estimates. The insights can be extended to other settings where investors have limited access to financial information, such as acquisitions of private targets.

The purpose of this paper is to investigate if any exposure to segregation minimal association in a single male prison population had any association with an increased risk of vitamin D deficiency.

A retrospective case study was undertaken with all inmates who had a 25-hyrdoxy-vitamin D test taken during the study period deemed eligible. Hand searching of the medical records by an independent party identified eligible participants whose data were recorded for analysis.

In total, 124 prisoners were deemed eligible for inclusion; 67 were vitamin D sufficient and 57 were vitamin D deficient by Australian standards. Time in segregation minimal association was shown not to be significant, however, smoking (OR 2.93, 95% CI 1.27-6.81, p=0.012) and having Asian ethnicity (OR 4.16, 95% CI 1.56-11.10, p=0.004) independently significantly increased the risk of vitamin D deficiency.

This research is limited by its study design, small sample size and single location.

This paper presents the first published research into vitamin D levels in a prison population in Australia, and provides a basis for a larger prospective cohort study.

The purpose of this paper is to focus on valuation practices applied by analysts to derive target price forecasts in Asian emerging markets. The key objective of this study is to understand valuation model preference of analysts and to compare the predictive utility of target price forecasts derived through heuristics-driven price-to-earnings (PE) model and theoretically sound discounted cash flow (DCF) model.

Each research report in the sample of 502 research reports has been studied in detail to understand the dominant valuation model (PE or DCF) applied by analyst to derive target price forecasts. These research reports have been issued on stocks trading in seven emerging markets including India, Malaysia, Indonesia, Taiwan, Philippines, Korea and Thailand during a six-year period starting 2008. Standard OLS and logit regression analysis has been performed to derive empirical findings.

The study finds that lower regulatory and reporting standards prevailing in emerging markets have no significant bearing on analyst choice of valuation model (PE or DCF). Time-series analysis suggests that emerging market analysts did not rely upon the usage of DCF model and preferred PE model during and immediately after the financial crisis of 2008. Multivariate regression results show weak evidence that PE model produces better results than DCF model after adjusting for the complexities associated with analyzing emerging market equities. The results imply that PE model, to some degree, is better equipped to capture market moods and sentiment in dynamic emerging markets rather than theoretically sound DCF model.

Most past studies on valuation model practices have focused on developed markets and this study provides a fresh perspective on analyst valuation model practices and performance in a new institutional setting of Asian emerging markets. The marginally better predictive utility of PE model as compared to DCF model is possibly a feature limited to Asian emerging markets.