The Experts below are selected from a list of 180 Experts worldwide ranked by ideXlab platform

Michael Welker - One of the best experts on this subject based on the ideXlab platform.

  • The Effect of Mandated Market Risk Disclosures on Trading Volume Sensitivity to Interest Rate, Exchange Rate, and Commodity Price Movements
    The Accounting Review, 2002
    Co-Authors: Thomas J. Linsmeier, Mohan Venkatachalam, Daniel B. Thornton, Michael Welker
    Abstract:

    We hypothesize that firms' 10‐K market risk disclosures, recently mandated by SEC Financial Reporting Release No. 48 (FRR No. 48), reduce investors' uncertainty and Diversity of Opinion about the implications, for firm value, of changes in interest rates, foreign currency exchange rates, and commodity prices. We argue that this reduced uncertainty and Diversity of Opinion should dampen trading volume sensitivity to changes in these underlying market rates or prices. Consistent with this hypothesis, we find that after firms disclose FRR No. 48‐mandated information about their exposures to interest rates, foreign currency exchange rates, and energy prices, trading volume sensitivity to changes in these underlying market rates and prices declines, even after controlling for other factors associated with trading volume. The observed declines in trading volume sensitivity are consistent with FRR No. 48 market risk disclosures providing useful information to investors.

  • Do FRR 48 Disclosures Reduce Investors' Uncertainty and Diversity of Opinion about Firms' Market Risk Exposures?: A Trading Volume Analysis
    2001
    Co-Authors: Mohan Venkatachalam, Thomas J. Linsmeier, Daniel B. Thornton, Michael Welker
    Abstract:

    This paper examines whether mandated market risk disclosures under the SEC Financial Reporting Release No. 48 (FRR 48) provide useful information to investors regarding firms' risk exposures. To provide evidence on this issue we investigate whether the SEC disclosures reduce investor uncertainty and Diversity of Opinion about the implications of market rate or price changes for firm value. We expect this reduced uncertainty and Diversity of Opinion to manifest itself in a decline in the amount of daily trading volume associated with market rate or price changes after the disclosures are made public. To test this hypothesis we introduce the trading volume risk response coefficient (TVRRC), which measures the association between daily movements in market rates or prices and the daily percentages of a firm's shares traded, after controlling for other factors that affect trading volume. We examine whether downward shifts in the TVRRC occurred after the 10-K filing dates for a sample of firms that first made FRR 48 disclosures in their 1997 SEC reports. We find such downward shifts in the TVRRC for firms disclosing market risk information about interest rate, foreign currency exchange rate, and energy price exposures. We also test for differences in results across the three quantitative disclosure methods allowed by FRR 48 (tabular, sensitivity and value at risk). We find downward TVRRC shifts for firms reporting interest rate exposures using any of the three methods, but only for firms reporting sensitivity or value at risk for exposures to foreign currency exchange rates. To rule out alternative explanations for the results, we focus on two control samples: (1) the original disclosure sample in the year before the SEC rule was effective and (2) a non-disclosure sample consisting of firms subject to the SEC rule that did not make market risk disclosures in the first fiscal year the rule was effective. We do not find significant shifts in TVRRC around these 10-K filing dates in either sample. We therefore interpret the downward shifts in TVRRC for the first-time disclosers as evidence supporting the hypothesis that the SEC-mandated disclosures reduce investor uncertainty and Diversity of Opinion about the implications of market rate or price changes for firm value.

Stacy Patterson - One of the best experts on this subject based on the ideXlab platform.

  • ACC - Maximizing Diversity of Opinion in Social Networks
    2019 American Control Conference (ACC), 2019
    Co-Authors: Erika Mackin, Stacy Patterson
    Abstract:

    We study the problem of maximizing Opinion Diversity in a social network that includes Opinion leaders with binary opposing Opinions. The members of the network who are not leaders form their Opinions using the French-DeGroot model of Opinion dynamics. To quantify the Diversity of such a system, we adapt two Diversity measures from ecology to our setting, the Simpson Diversity Index and the Shannon Index. Using these two measures, we formalize the problem of how to place a single leader with Opinion 1, given a network with a leader with Opinion 0, so as to maximize the Opinion Diversity. We give analytical solutions to these problems for paths, cycles, and trees, and we highlight our results through a numerical example.

  • Maximizing Diversity of Opinion in Social Networks
    arXiv: Optimization and Control, 2018
    Co-Authors: Erika Mackin, Stacy Patterson
    Abstract:

    We study the problem of maximizing Opinion Diversity in a social network that includes Opinion leaders with binary opposing Opinions. The members of the network who are not leaders form their Opinions using the French-DeGroot model of Opinion dynamics. To quantify the Diversity of such a system, we adapt two Diversity measures from ecology to our setting, the Simpson Diversity Index and the Shannon Index. Using these two measures, we formalize the problem of how to place a single leader with Opinion 1, given a network with a leader with Opinion 0, so as to maximize the Opinion Diversity. We give analytical solutions to these problems for paths, cycles, and trees, and we highlight our results through a numerical example.

Thomas J. Linsmeier - One of the best experts on this subject based on the ideXlab platform.

  • The Effect of Mandated Market Risk Disclosures on Trading Volume Sensitivity to Interest Rate, Exchange Rate, and Commodity Price Movements
    The Accounting Review, 2002
    Co-Authors: Thomas J. Linsmeier, Mohan Venkatachalam, Daniel B. Thornton, Michael Welker
    Abstract:

    We hypothesize that firms' 10‐K market risk disclosures, recently mandated by SEC Financial Reporting Release No. 48 (FRR No. 48), reduce investors' uncertainty and Diversity of Opinion about the implications, for firm value, of changes in interest rates, foreign currency exchange rates, and commodity prices. We argue that this reduced uncertainty and Diversity of Opinion should dampen trading volume sensitivity to changes in these underlying market rates or prices. Consistent with this hypothesis, we find that after firms disclose FRR No. 48‐mandated information about their exposures to interest rates, foreign currency exchange rates, and energy prices, trading volume sensitivity to changes in these underlying market rates and prices declines, even after controlling for other factors associated with trading volume. The observed declines in trading volume sensitivity are consistent with FRR No. 48 market risk disclosures providing useful information to investors.

  • Do FRR 48 Disclosures Reduce Investors' Uncertainty and Diversity of Opinion about Firms' Market Risk Exposures?: A Trading Volume Analysis
    2001
    Co-Authors: Mohan Venkatachalam, Thomas J. Linsmeier, Daniel B. Thornton, Michael Welker
    Abstract:

    This paper examines whether mandated market risk disclosures under the SEC Financial Reporting Release No. 48 (FRR 48) provide useful information to investors regarding firms' risk exposures. To provide evidence on this issue we investigate whether the SEC disclosures reduce investor uncertainty and Diversity of Opinion about the implications of market rate or price changes for firm value. We expect this reduced uncertainty and Diversity of Opinion to manifest itself in a decline in the amount of daily trading volume associated with market rate or price changes after the disclosures are made public. To test this hypothesis we introduce the trading volume risk response coefficient (TVRRC), which measures the association between daily movements in market rates or prices and the daily percentages of a firm's shares traded, after controlling for other factors that affect trading volume. We examine whether downward shifts in the TVRRC occurred after the 10-K filing dates for a sample of firms that first made FRR 48 disclosures in their 1997 SEC reports. We find such downward shifts in the TVRRC for firms disclosing market risk information about interest rate, foreign currency exchange rate, and energy price exposures. We also test for differences in results across the three quantitative disclosure methods allowed by FRR 48 (tabular, sensitivity and value at risk). We find downward TVRRC shifts for firms reporting interest rate exposures using any of the three methods, but only for firms reporting sensitivity or value at risk for exposures to foreign currency exchange rates. To rule out alternative explanations for the results, we focus on two control samples: (1) the original disclosure sample in the year before the SEC rule was effective and (2) a non-disclosure sample consisting of firms subject to the SEC rule that did not make market risk disclosures in the first fiscal year the rule was effective. We do not find significant shifts in TVRRC around these 10-K filing dates in either sample. We therefore interpret the downward shifts in TVRRC for the first-time disclosers as evidence supporting the hypothesis that the SEC-mandated disclosures reduce investor uncertainty and Diversity of Opinion about the implications of market rate or price changes for firm value.

Mohan Venkatachalam - One of the best experts on this subject based on the ideXlab platform.

  • The Effect of Mandated Market Risk Disclosures on Trading Volume Sensitivity to Interest Rate, Exchange Rate, and Commodity Price Movements
    The Accounting Review, 2002
    Co-Authors: Thomas J. Linsmeier, Mohan Venkatachalam, Daniel B. Thornton, Michael Welker
    Abstract:

    We hypothesize that firms' 10‐K market risk disclosures, recently mandated by SEC Financial Reporting Release No. 48 (FRR No. 48), reduce investors' uncertainty and Diversity of Opinion about the implications, for firm value, of changes in interest rates, foreign currency exchange rates, and commodity prices. We argue that this reduced uncertainty and Diversity of Opinion should dampen trading volume sensitivity to changes in these underlying market rates or prices. Consistent with this hypothesis, we find that after firms disclose FRR No. 48‐mandated information about their exposures to interest rates, foreign currency exchange rates, and energy prices, trading volume sensitivity to changes in these underlying market rates and prices declines, even after controlling for other factors associated with trading volume. The observed declines in trading volume sensitivity are consistent with FRR No. 48 market risk disclosures providing useful information to investors.

  • Do FRR 48 Disclosures Reduce Investors' Uncertainty and Diversity of Opinion about Firms' Market Risk Exposures?: A Trading Volume Analysis
    2001
    Co-Authors: Mohan Venkatachalam, Thomas J. Linsmeier, Daniel B. Thornton, Michael Welker
    Abstract:

    This paper examines whether mandated market risk disclosures under the SEC Financial Reporting Release No. 48 (FRR 48) provide useful information to investors regarding firms' risk exposures. To provide evidence on this issue we investigate whether the SEC disclosures reduce investor uncertainty and Diversity of Opinion about the implications of market rate or price changes for firm value. We expect this reduced uncertainty and Diversity of Opinion to manifest itself in a decline in the amount of daily trading volume associated with market rate or price changes after the disclosures are made public. To test this hypothesis we introduce the trading volume risk response coefficient (TVRRC), which measures the association between daily movements in market rates or prices and the daily percentages of a firm's shares traded, after controlling for other factors that affect trading volume. We examine whether downward shifts in the TVRRC occurred after the 10-K filing dates for a sample of firms that first made FRR 48 disclosures in their 1997 SEC reports. We find such downward shifts in the TVRRC for firms disclosing market risk information about interest rate, foreign currency exchange rate, and energy price exposures. We also test for differences in results across the three quantitative disclosure methods allowed by FRR 48 (tabular, sensitivity and value at risk). We find downward TVRRC shifts for firms reporting interest rate exposures using any of the three methods, but only for firms reporting sensitivity or value at risk for exposures to foreign currency exchange rates. To rule out alternative explanations for the results, we focus on two control samples: (1) the original disclosure sample in the year before the SEC rule was effective and (2) a non-disclosure sample consisting of firms subject to the SEC rule that did not make market risk disclosures in the first fiscal year the rule was effective. We do not find significant shifts in TVRRC around these 10-K filing dates in either sample. We therefore interpret the downward shifts in TVRRC for the first-time disclosers as evidence supporting the hypothesis that the SEC-mandated disclosures reduce investor uncertainty and Diversity of Opinion about the implications of market rate or price changes for firm value.

Nesar Ahmad - One of the best experts on this subject based on the ideXlab platform.

  • Students’ knowledge assessment using the ensemble methods
    International Journal of Information Technology, 2021
    Co-Authors: Maksud Ahamad, Nesar Ahmad
    Abstract:

    Modeling students’ learning behavior for knowledge assessment is crucial for predicting the academic performance of students. This becomes a challenge in case of online teaching and learning scenarios since the students and teachers may not be physically present at the same geographical location in contrast to physical classroom teaching. Modeling of students’ learning patterns can lead to the proper prediction of students’ academic performance; thus, early identification of students at risk of academic failure is possible. The correct assessment of student knowledge can lead to corrective measures for students and fruitful feedback for instructors. In this paper, we have used the ensemble classifiers with various machine learning algorithms on the students’ knowledge dataset to predict the level of knowledge acquired by the students. This combination of the algorithms achieved better performance as compared to an individual algorithm. It was found that taking the classifiers which are independent and have the Diversity of Opinion leads to improved results.