Results 141 to 150 of about 915,119 (255)

Effects of market sentiment in index option pricing: a study of CNX NIFTY index option [PDF]

open access: yes
This paper provides evidence of the role of sentiments in pricing Indian CNX Nifty index call Option during the period from April 2002 to December 2008. It also shows that Black-Scholes option pricing model using the implied volatility of previous day is
Nagarajan, Thirukumaran   +1 more
core  

Complementary or Competitive? Emerging Interactions Between Restoration and Protection in the Conservation Reserve Program

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The USDA's Conservation Reserve Program (CRP) delivers environmental benefits to society by enrolling cropland and grasslands to reestablish or safeguard long‐term vegetative cover. In recent years, the CRP has dramatically increased grassland enrollment while cropland enrollment has been in steady decline. This paper uses descriptive analysis,
Wesley Zebrowski   +2 more
wiley   +1 more source

INCREASING THE ACCURACY OF OPTION PRICING BY USING IMPLIED PARAMETERS RELATED TO HIGHER MOMENTS [PDF]

open access: yes
The inaccuracy of the Black-Scholes formula arises from two aspects: the formula is for European options while most real option contracts are American; the formula is based on the assumption that underlying asset prices follow a lognormal distribution ...
Brorsen, B. Wade, Ji, Dasheng
core  

Expanded Farm Safety Net Payments Under the One Big Beautiful Bill Act

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The One Big Beautiful Bill Act (OBBBA) strengthens the agricultural risk coverage (ARC) and price loss coverage (PLC) programs by aligning program parameters more closely with recent market dynamics and allows for an expansion in program acres. This study projects the increases in ARC‐County and PLC payments for corn, soybeans, and wheat under
Oranuch Wongpiyabovorn   +5 more
wiley   +1 more source

Natural volatility and option pricing [PDF]

open access: yes
In this paper we recover the Black-Scholes and local volatility pricing engines in the presence of an unspecified, fully stochastic volatility. The input volatility functions are allowed to fluctuate randomly and to depend on time to expiration in a ...
Carey, Alexander
core  

Rational Expectations and Market Timing: An Event Study of the China–United States Phase One Trade Deal

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Rational actors constantly incorporate information into their decision‐making behavior. Since there is often a time lag between the announcement of a policy and its implementation, an important question arises: when do rational actors incorporate new information into their market behavior, at the announcement or at the implementation of a ...
Tim Ölkers, Oliver Mußhoff
wiley   +1 more source

The Cow or the Credit: Causal Relationship Between California Dairy Herd Consolidation and Anaerobic Digesters

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The California dairy industry has experienced considerable consolidation over the past 30 years. During this period, there has also been substantial technological innovation, implementation of the state's Low Carbon Fuel Standard program, and rapid adoption of anaerobic digesters.
Michael McCullough, Jarrett Hart
wiley   +1 more source

Preference-free option pricing with path-dependent volatility: A closed-form approach [PDF]

open access: yes
This paper shows how one can obtain a continuous-time preference-free option pricing model with a path-dependent volatility as the limit of a discrete-time GARCH model.
Steven L. Heston, Saikat Nandi
core  

Behavioral Coping With Food Price Inflation: Patterns Among U.S. Households

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Recent food price inflation has placed substantial pressure on household budgets, food security, and mental well‐being. Using Household Pulse Survey data, we combine k‐modes clustering and Double Machine Learning to identify distinct household coping groups and examine differences in how households respond to rising food prices across groups ...
Yuxiang Zhang, Yizao Liu
wiley   +1 more source

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