Business Commons^™

Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha

Seaver College Research And Scholarly Achievement Symposium

Volatility forecasting in the financial market plays a pivotal role across a spectrum of disciplines, such as risk management, option pricing, and market making. However, volatility forecasting is challenging because volatility can only be estimated, and different factors influence volatility, ranging from macroeconomic indicators to investor sentiments. While recent works suggest advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive benchmark of current statistical and learning-based methods for such purposes is lacking. Thus, this paper aims to provide a comprehensive survey of the historical evolution of volatility forecasting with a comparative benchmark of key landmark models. We …

Hedging Cryptos With Bitcoin Futures, Francis Liu, Natalie Packham, Meng-Jou Lu, Wolfgang Karl Haerdle

Sim Kee Boon Institute for Financial Economics

The introduction of derivatives on Bitcoin enables investors to hedge risk exposures in cryptocurrencies. Because of volatility swings and jumps in cryptocurrency prices, the traditional variance-based approach to obtain hedge ratios may not be suitable for hedgers. In this work, we consider two extensions of the traditional approach: first, different dependence structures are modelled by different copulae, such as the Gaussian, Student-t, Normal Inverse Gaussian and Archimedean copulae; second, different risk measures, such as value-at-risk, expected shortfall and spectral risk measures are employed to find the optimal hedge ratio. Extensive out-of-sample tests using the data from the time …

Lessons Learned: Greg Feldberg, Sandra Ward, Rosalind Z. Wiggins

Journal of Financial Crises

Greg Feldberg was a senior supervisory financial analyst at the Board of Governors of the Federal Reserve experienced in regulating large banks when he was recruited to the Financial Crisis Inquiry Commission (FCIC) where he worked from 2010-11, becoming its Director of Research. The FCIC was a bipartisan commission charged with investigating the causes of the global financial crisis of 2007-09. Feldberg shared thoughts about some of the challenges faced by the commission and why its report is important. This "Lessons Learned" is based on an interview with Mr. Feldberg.

Uncertainty > Risk: Lessons For Legal Thought From The Insurance Runoff Market, Tom Baker

All Faculty Scholarship

Insurance ideas inform legal thought: from tort law, to health law and financial services regulation, to theories of distributive justice. Within that thought, insurance is conceived as an ideal type in which insurers distribute determinable risks through contracts that fix the parties’ obligations in advance. This ideal type has normative appeal, among other reasons because it explains how tort law might achieve in practice the objectives of tort theory. This ideal type also supports a restrictive vision of liability-based regulation that opposes expansions and supports cutbacks, on the grounds that uncertainty poses an existential threat to insurance markets.

Prior work …

Teres: Tail Event Risk Expectile Shortfall, Andrija Mihoci, Wolfgang Karl Hardle, Cathy Yi-Hsuan Chen

Sim Kee Boon Institute for Financial Economics

We propose a generalized risk measure for expectile-based expected shortfall estimation. The generalization is designed with a mixture of Gaussian and Laplace densities. Our plug-in estimator is derived from an analytic relationship between expectiles and expected shortfall. We investigate the sensitivity and robustness of the expected shortfall to the underlying mixture parameter specification and the risk level. Empirical results from the US, German and UK stock markets and for selected NASDAQ blue chip companies indicate that expected shortfall can be successfully estimated using the proposed method on a monthly, weekly, daily and intra-day basis using a 1-year or 1-day time …

The Mess At Morgan: Risk, Incentives And Shareholder Empowerment, Jill E. Fisch

All Faculty Scholarship

The financial crisis of 2008 focused increasing attention on corporate America and, in particular, the risk-taking behavior of large financial institutions. A growing appreciation of the “public” nature of the corporation resulted in a substantial number of high profile enforcement actions. In addition, demands for greater accountability led policymakers to attempt to harness the corporation’s internal decision-making structure, in the name of improved corporate governance, to further the interest of non-shareholder stakeholders. Dodd-Frank’s advisory vote on executive compensation is an example.

This essay argues that the effort to employ shareholders as agents of public values and, thereby, to inculcate corporate …

Modeling And Simulation Of Value -At -Risk In The Financial Market Area, Xiangyin Zheng

Doctoral Dissertations

Value-at-Risk (VaR) is a statistical approach to measure market risk. It is widely used by banks, securities firms, commodity and energy merchants, and other trading organizations. The main focus of this research is measuring and analyzing market risk by modeling and simulation of Value-at-Risk for portfolios in the financial market area. The objectives are (1) predicting possible future loss for a financial portfolio from VaR measurement, and (2) identifying how the distributions of the risk factors affect the distribution of the portfolio. Results from (1) and (2) provide valuable information for portfolio optimization and risk management.

The model systems chosen …

Allocating Contractor Risks In The Hanford Waste Cleanup, Jeffrey M. Keisler, William A. Buehring, Peter D. Mclaughlin, Mark A. Robershotte, Ronald G. Whitfield

Management Science and Information Systems Faculty Publication Series

Organizations may view outsourcing as a way to manage risk. We developed a decision-analytic approach to determine which risks the buyer can share or shift to vendors and which ones it should bear. We found that allocating risks incorrectly could increase costs dramatically. Between 1995 and 1998, we used this approach to develop the request for proposals (RFP) for the US Department of Energy’s (DOE’s) privatization initiative for the Hanford tank waste remediation system (TWRS). In the model, we used an assessment protocol to predict how vendors would react to proposed risk allocations in terms of their actions and their …

Allocating Contractor Risks In The Hanford Waste Cleanup, Jeffrey M. Keisler, William A. Buehring, Peter D. Mclaughlin, Mark A. Robershotte, Ronald G. Whitfield

Jeffrey Keisler

Organizations may view outsourcing as a way to manage risk. We developed a decision-analytic approach to determine which risks the buyer can share or shift to vendors and which ones it should bear. We found that allocating risks incorrectly could increase costs dramatically. Between 1995 and 1998, we used this approach to develop the request for proposals (RFP) for the US Department of Energy’s (DOE’s) privatization initiative for the Hanford tank waste remediation system (TWRS). In the model, we used an assessment protocol to predict how vendors would react to proposed risk allocations in terms of their actions and their …