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This study investigates whether and how the complexity of derivative use influences the stock price crash risk in China’s capital market, a critical question given the growing use of derivatives in emerging economies where governance structures and disclosure standards vary widely. While prior research has examined the binary effects of derivative usage, limited attention has been paid to the multidimensional complexity of such instruments and its informational consequences. Using a novel hand-collected dataset of annual reports from Chinese A-share-listed firms between 2010 and 2023, we develop and implement new indicators that capture both the economic complexity (diversity and scale) and accounting complexity (reporting dispersion and fair-value hierarchy) of derivative use. Our analysis shows that higher complexity is associated with a significantly lower likelihood of stock price crashes. This effect is especially pronounced in non-state-owned firms and those with weaker internal-control systems, suggesting that derivative complexity can enhance information transparency and serve as a substitute for other governance mechanisms. These findings challenge the conventional view that complexity necessarily increases opacity and highlight the importance of disclosure quality and institutional context in shaping the market consequences of financial innovation.

Theory predicts that nonfinancial corporations might use derivatives to lower financial distress costs, coordinate cash flows with investment, or resolve agency conflicts between managers and owners. Using a new database, we find that traditional tests of these theories have little power to explain the determinants of corporate derivatives usage. Instead, we show that derivative usage is determined endogenously with other financial and operating decisions in ways that are intuitive but not related to specific theories for why firms hedge. For example, derivative usage helps determine the level and maturity of debt, dividend policy, holdings of liquid assets, and international operating hedging.

The paper is dedicated to modeling electricity spot prices and pricing forward contracts on energy markets. The underlying dynamics of electricity spot prices is governed by a stochastic mean reverting diffusion with jumps having mixed-exponential distribution. Application of financial mathematics and stochastic methods enabled the derivation of the analytical formula for the forward contract’s price in a crisp case. Since the model parameters’ incertitude is considered, their fuzzy counterparts are introduced. Utilization of fuzzy arithmetic enabled deriving an analytical expression for the futures price and proposing a modified method for decision-making under uncertainty. Finally, numerical examples are analyzed to illustrate our pricing approach and the proposed financial decision-making method.

We create a method to compute the price of some types of derivatives in a micro-market where there are many small investors (retail traders, swing traders, etc), and a big investor (institutional trader). This model takes a linear combination of the prices proposed by each agent plus a stochastic error where the weights will represent the percentage of participation of each agent in the market. For big investors, we develop the multiprice model version of the mixture of diffusion processes as in Brigo (The general mixture-diffusion SDE and its relationship with an uncertain-volatility option model with volatility-asset decorrelation, 2002. https://www.imperial.ac.uk/people/damiano.brigo/publications.html) and then choose the martingale measure that maximizes the relative entropy function under some specific macroeconomic conditions. This measure provides a posteriori distribution for the macroeconomic events using the a priori distribution and the interactions of correlated economic sectors. In this process, we also break down the volatility of the underlying asset into components of volatility that depend on the trends of other related stocks. The big investor will ultimately use this measure to price the derivative. Small investors, on the other hand, face some constraints on their portfolios due to limited information. We use the results by El Karoui and Rouge (Math Finance 10:259–276, 2000), Duffie and Huang (J Math Econ 15:283–303, 1986) to develop a new formula and an algorithm for the price of different stereotypes of small agents that come from the stochastic game between the big investor and them.

It is well established that financial development and innovation promote economic growth through improving the allocation of capital, enhancing risk management, contributing to price discovery, and increasing market efficiencies. While a vast empirical literature is devoted to the nexus between financial development and economic growth, however, substantially less research has been done on the relationship between derivatives and growth, especially in the emerging-market context. Derivatives can be viewed as a specific category of financial innovation, which may advance economic growth through its specialised functions of risk management and price discovery. This paper contributes to bridging this gap in the literature by exploring the impact of exchange-traded futures derivatives on South African economic growth, output, and economic growth volatility. It employs ARDL bounds tests, Granger causality tests and GARCH volatility modeling to analyse the effects of exchange-traded futures derivatives on various measures of South African economic activity. The main result is that exchange-traded futures derivatives contribute positively to South African economic growth and economic activity. This may suggest that opportunities might exist in other emerging economies, with financial structures comparable to that of South Africa, to encourage the development of organised and well-regulated derivatives markets to unlock economic growth in these economies.

Derivative financial instruments play a major role in financial markets. However, there are rather contradictory views regarding this issue. Their impact on the financial markets, their stability and the economy have not been thoroughly examined. The aim of this paper is to analyse derivatives and the economic situation in the country and to investigate the relationship between the derivatives and the macroeconomic factors which have the greatest impact on the volume of the derivatives. The paper analyses derivatives statistics and macroeconomic indicators in Lithuania. As a result, the relationship between the derivatives and the country’s macroeconomic indicators is examined by identifying the most significant factors, as the structure and volume of derivatives in different markets may be determined by different macroeconomic factors. The performed analysis and estimation have shown that foreign direct investment has the largest impact on the derivatives, their volume and structure, and average earnings have the least impact.

We provide evidence on how investor valuation of derivative financial instruments differs depending upon whether the fair value of these instruments is recognized or disclosed. Expanded disclosures and accounting practices prior to SFAS No. 133 and mandatory recognition of derivative fair values after SFAS No. 133 provide a natural setting for comparing the valuation implications of recognized and disclosed derivative fair value information. This unique setting mitigates many of the research design problems with recognition versus disclosure studies. Using a sample of banks that simultaneously hold recognized and disclosed derivatives prior to SFAS No. 133, we find that the valuation coefficients on recognized derivatives are significant, whereas the valuation coefficients on disclosed derivatives are not significant. Further, using a sample of banks that have only disclosed derivatives prior to SFAS No. 133, which are recognized after SFAS No.133, we find that while the valuation coefficients on disclosed derivatives are not significant, the valuation coefficients on recognized derivatives are significant. These results are consistent with the view that recognition and disclosure are not substitutes. Our findings suggest that SFAS No. 133 has increased the transparency of derivative financial instruments.

Derivative longevity risk solutions, such as bespoke and indexed longevity swaps, allow pension schemes, and annuity providers to swap out longevity risk, but introduce counterparty credit risk, which can be mitigated if not fully eliminated by collateralization. We examine the impact of bilateral default risk and collateral rules on the marking to market of longevity swaps, and show how longevity swap rates must be determined endogenously from the collateral flows associated with the marking-to-market procedure. For typical interest rate and mortality parameters, we find that the impact of collateralization is modest in the presence of symmetric default risk, but more pronounced when default risk and/or collateral rules are asymmetric. Our results suggest that the overall cost of collateralization is comparable with, and often much smaller than, that found in the interest rate swaps market, which may then provide the appropriate reference framework for the credit enhancement of both indemnity-based and indexed longevity risk solutions.

Taxation of Loan Relationships and Derivative Contracts, Tenth Edition, is updated in line with the Finance Act 2015 which brings in significant changes to the loan relation rules. In addition, it includes changes to both UK and International Accounting Standards. This new edition covers developments in the Basic Erosion and Profit Shifting (BEPs) project and the related new climate and wider concept of tax avoidance (GAAR). The chapters covering accounting framework, reorganisations and international aspects have been significantly updated since the previous edition and new chapters have been added with a summary of all relevant cases and a chapter covering Islamic Finance.Covers the following:The Taxation of Finance Accounting under IFRS and Modified UK GAAP The Scheme of the Legislation Loan Relationships: Scope and Definition Loan Relationships: General Computational Provisions Loan Relationships: Special Computational Provisions Impairment Losses Foreign Exchange and Hedging/DeferralInterest SecuritiesReorganisations, Acquisitions and Disposals Special CompaniesDerivative Contracts - Definition and Scope Derivative Contracts - Measurement of Profits Embedded Derivatives Worldwide Debt Cap Transfer PricingStock Lending and ReposInternational AspectsIslamic FinanceCasesAppendices