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This study suggests a complex hedge model for coal traders that simultaneously consider the risk factors of coal price. ocean freight rate and foreign exchange rate. In addition. it Quantitatively analyses the superiority of the complex hedge model compared to the conventional one in terms of return flow stabilization. According to the ex-post and the ex-ante empirical results, a separate hedge could stabilize the return flow‘ but this might not be the best solution. That is. a complex hedge would give a better result in terms of hedging effectiveness. Thus‘ one could improve hedging effects by fully considering the inherent variance-covariance relationship among multiple risk factors.

The current financial crisis revealed weaknesses in the US financial system, including the difficulty of valuing complex assets. This paper seeks to examine regulatory and compliance issues for hedge funds valuing complex assets.

Within the context of hedge fund valuation, the paper provides a general overview of: the regulatory background of hedge funds and the central role valuation plays in the operation and regulation of such funds; relevant cases brought by the SEC; and a discussion of valuation best practices.

Hedge funds are not “unregulated.” There is a body of law and accounting standards that applies to hedge fund valuation. Nevertheless, hedge fund valuation standards are evolving in this era of heightened regulatory scrutiny. The common concepts that have emerged from valuation best practices will likely provide the underpinning for any regulatory initiatives regarding hedge fund valuation.

By the time of publication, Congress may pass pending legislation governing hedge funds and there may be additional notable SEC cases on hedge fund valuation.

The economic crisis has revitalized the SEC's interest in this area. Consequently, hedge funds should consider adoption of a compliance program that specifically targets valuation by stressing investor disclosure, independence of the valuation function, comprehensive written valuation polices and procedures, and internal controls.

The paper compiles and organizes in one place the regulatory and compliance standards governing asset valuation by hedge funds.

This paper provides a review of research on financial derivatives, with an emphasis on and comprehensive coverage of research published in 15 top accounting journals from 1996 to 2017. We begin with some brief institutional details about derivatives and then summarize studies explaining when and why firms use derivatives. We then discuss the evolution of the accounting rules related to derivatives (and associated disclosure requirements) and studies that examine changes in these requirements over the years. Next, we review the literature that examines the consequences of firms’ derivative use to various capital market participants (i.e., managers, analysts, investors, boards of directors, etc.), with an emphasis on the role that the accounting and disclosure rules play in such consequences. Finally, we discuss the importance of industry affiliation on firms’ derivative use and the role that industry affiliation plays in derivatives research. Overall, our review suggests that, perhaps due to their inherent complexity and data limitations, derivatives are relatively understudied in accounting, and we highlight several areas where future research is needed.

The purpose of this article is to explore what the author believes to be some of the key challenges facing hedge fund managers that are preparing for registration with the Commission under the Investment Advisers Act of 1940 (“Advisers Act”).

Discusses marketing issues, including promotional use of track records from predecessor firms, use of target returns, use of selected investment performance, explicit or implicit promises of low volatility, and promises of specific fund characteristics. Discusses protection and proper use of fund assets, including asset safeguarding policies and procedures, and allocating expenses to funds. Discusses managing material, non‐public information; valuation of fund assets; side letters; and compliance program requirements.

The impacts of the new requirements will be significant for many hedge fund managers. Unregistered hedge fund managers will soon become subject to the full scope of the Advisers Act, including detailed compliance program requirements, obligations, and restrictions with respect to marketing, affiliated transaction prohibitions and restrictions, custody requirements, books and records creation and retention obligations, and a broad array of other standard and situational requirements. The organizations that meet these challenges successfully will be those that understand their risk profiles, foster top‐down “cultures of compliance,” and dedicate sufficient human and other resources to develop appropriate compliance programs and to monitor and continuously evaluate their exposures to potential compliance issues.

Provides a useful discussion of what the author believes to be some of the most important regulatory concerns and challenges faced by hedge fund advisers as they prepare for a new regulated environment.

Purpose – This research pinpoints the limitations of conventional models for evaluating the performance of hedge funds and attempts to provide a new framework for modeling the dynamics of risk structures of hedge funds.

Methodology/approach – This chapter aims to explore how the systematic risk exposures of hedge funds vary over time and depend on exogenous variables that managers are supposed to use in their dynamic investment strategies. To achieve this, we used a Bayesian time-varying CAPM-based beta model within a state space technology.

Findings – The results showed that the volatility, term spread rate, and shocks in liquidity influence significantly on the time variation of hedge funds. Besides, the dynamics of beta indicates that the transmission channels of systematic risk are mainly the leverage levels of hedge funds and liquidity shocks.

Originality/value of chapter – These results are original because they help to explain how expected and unexpected hedge fund returns are correlated with the systematic risk factors via the beta dynamics.

The purpose of this paper is to examine the timing and the determinants of electing Statement of Financial Accounting Standard (SFAS) No. 159 in the banking industry.

The authors hypothesize certain factors that will potentially affect banks' election decisions and separate banks into three groups: early electors, late electors and non‐electors by hand‐collecting the election decisions and the timing of the election decisions. Univariate and logit rank regressions are used to identify the determining factors between electors (vs non‐electors) and between early electors (vs late electors).

The authors find that compared to banks not electing SFAS No. 159 (non‐electors), banks electing SFAS No. 159 (early electors as well as late electors) face greater earnings pressures, have less volatile earnings and larger size, and are active in hedging activities. In addition, compared to banks electing SFAS No. 159 at required election date (late electors), banks electing SFAS No. 159 early (early electors) have weak financial strength, less volatile earnings, and are more likely to be audited by non‐Big‐4 auditors.

The study only focuses on the banking industry, so the results from may not be generalized to other industries. Future studies could explore how SFAS No. 159 impacts firms in different industries.

The authors' overall results suggest that the banks might have many considerations in mind when they elect to use SFAS No. 159. The results provide useful information for regulatory bodies to evaluate the efficacy of issuing the standard. Early electors could have exploited the opportunities provided by the transition provisions of this standard to boost their regulatory capital ratios.

The purpose of this study is to analyze the perception of accountants in relation to the complexity of accounting for financial instruments and in relation to the disclosure of financial instruments in annual reports. Both aspects are relevant for the external users, and for the firms’ internal management.

The database comprises questionnaires answered by accountants from Brazil and Chile. Data were analyzed based on reliability statistics and multivariate regression analysis.

The main results indicate that accountants perceive the accounting for derivatives, hedge accounting, fair value measurement of financial instruments and the respective disclosure of these operations as a complex issue. These findings are interesting considering that there are detailed accounting standards relating to financial instruments.

The results indicate that education and gender affect the perception of complexity about accounting of derivatives.

Findings from this research show that accountants do perceive derivatives as complex items for accounting, particularly accounting for hedges.

The results can motivate some initiatives for training activities and for teaching academic content about financial instruments in undergraduate courses.

To the best of the authors’ knowledge, this is the first study that tests some personal characteristics of accountants (namely, professional experience, education and gender), in contrast to their perceptions about complexity of accounting for derivatives.

We examine whether the hedging effectiveness of crude oil futures is affected by asymmetry in the return distribution by applying tail-specific metrics to compare the hedging effectiveness of both short and long hedgers. The hedging effectiveness metrics we use are based on lower partial moments (LPM), value at risk (VaR) and conditional value at risk (CVaR). Comparisons are applied to a number of hedging strategies including ordinary least square (OLS), and both symmetric and asymmetric GARCH models. We find that OLS provides consistently better performance across different measures of hedging effectiveness as compared with GARCH models, irrespective of the characteristics of the underlying distribution.

Risk managers have more tools than ever to help protect their companies from risk. Complex financial instruments, intricate mathematical models, and access to massive amounts of data can help the risk manager structure a multifaceted strategy to decrease volatility and protect the company from a catastrophic event. However, these tools have their own risks that can complicate a risk manager's job.

Analyzing corn price volatility helps students understand four best practices for risk managers, regardless of the specific risks they face or the strategies they employ: quantify the company's exposure; understand the nature of the risk; understand how the hedge works in practice; and separate hedging and speculation.