finance

reliable forecast 1

sixteen hurricane estimations 1

more oil 1

two stories 1

petroleum refining industry classification 1

outlier 1

n. 1

one-half 1

storm 18

investigation of dividend announcements 1

ro 1

equal one 1

summarizes 1

bankruptcy announcements 1

market.s awareness 1

4 re-estimate the previous regressions 1

wealth 1

usable 1

refining pennsylvania crude oil 1

energy sector.s next top model 1

minimal hurricane strength 1

camille 3

gulf coast supply chain facilities 1

drilling 3

macroeconomy 2

conclusions 3

impending hurricane threats 1

other historical documentation 1

gas firm sample selection 1

value-weighted measure 1

wall 10

pending threat 1

0.48 opal oct. 1

abnormal return of -0.52 % 1

twenty-one 13

direction 1

florida peninsula 3

wind 3

nhc forecast error rate 1

winter 1

usable sample 1

expecting increased quarterly earnings 1

might impact 1

one category 1

news effect 1

anticipation 1

firm 32

model returns 1

p 1% 1

land 6

average 14

firm histories 1

excludes hurricanes with sunday 4

chronological 1

http://www.nhc.noaa.gov/aboutsshs.shtml 1

intra-industry effects 1

dearborn young ro assistant professor 1

dates 1

fact 7

elena sept. 1

coefficients 12

hurricanes. effect 1

evacuation 3

hurricanes with monday landfalls 2

activity 4

2005 time period 1

more volatility 1

sample 27

cause 2

cause disruptions 1

presence 4

picks 1

price performance 1

hurricane storm tracks 1

day before hurricane opal.s landfall 1

event study methodology 1

hurricane scale 1

setting 1

disruption in the supply chain 1

gas supply chain on oil 1

goal 1

entire u.s. economy 1

1.61 panel c 1

impact of a threatening hurricane 1

results from table 1

type 1

economic forces 1

celia 4

two areas outside the oil 1

noisy 3

http://www.nhc.noaa.gov/pastall.shtml. 2 see 1

coast oil 4

stock price performance 1

l. t. starks 1

nyse as being “integrated oil 2

p 5% 3

confounding effects 1

problem 1

means 1

hurricanes with sunday 1

return abnormal return 1

beta carla sept. 1

other means 1

“pure” 3

c. 2

r. stulz 1

primary source of information 1

tropical depressions 1

storms 5

glitches 2

coast hurricanes 2

terminals 2

“noise” 1

65.4 % on table 1

wall street journal story 1

hurricane strikes 1

market 85

pre-announcement stock market response 1

market.s 10

actual damage 1

obvious outlier 1

value creation process the market 1

hour increments 1

0.0217** opv 1

coast supply chain facilities 1

park 2

overall abnormal returns 1

potential disruptions 2

rate 1

matter 1

tables 9

labor day cause 1

independence between the estimation period 1

landfall possibilities 2

individual days. abnormal returns 1

allen aug. 1

previous researchers 1

south 2

landfalls within the corpus christi 1

tropical cyclone report 1

firms. supply chains 1

average number 1

lease 1

importance 4

market portfolio 1

five others 1

previous discussion of opv 1

hurricane rita 2

m. wei 1

tropical cyclones. 1

day of landfall as day 1

..opv 1

energy price volatility 1

source 2

hurricanes 121

measuring 1

charley 2

acquisition 1

wei 1

1.37 notes 1

losses of this magnitude 1

references aloui 1

one factor 1

documentation 1

reliable forecast that the threat 1

study methodology 1

hurricane allen 1

gulf coast oil 4

journal 16

corresponding market reaction 1

west 4

firms” 1

concern 2

beulah 1

firms.” 2

accurate predictions 1

hilda 1

opal.s 2

quaker state corporation 1

expected storm tracks 1

china 2

monday reports of insignificant damage 1

producing earnings forecasts 1

chain facilities 4

positive market response 1

day each hurricane 1

knots 2

analysts. earnings forecasts 2

roll 1

state 1

post gains 1

alicia aug. 1

returns individual days accumulation windows 6

interest rates in several countries 1

aarit 2

returns ar 2

b. 3

hurricane.s landfall 4

show 1

abnormal stock returns 1

two most recent major hurricanes 1

landfall category landfall hurricane 3

two days 1

lower f-statistics 1

stock market.s reaction 4

multi-billion 1

hurricanes behavior 1

only common point 1

rmt 3

wall street journal index 2

.it 1

philipich 1

assistant 3

84.9 % on table 1

economic activity 1

operations management university 1

1.11 alicia aug. 1

major hurricanes on oil 1

price 19

1.15 carmen sept. 1

sixteen hurricanes 1

average range 1

marit 2

listing 1

“petroleum refining” 1

decreases 1

present intensity 1

2005 being the last year 1

threatening hurricane 1

firm i.s daily return 1

day of the story 1

oil companies 1

following past research 1

is the pre-emptive market reaction 1

r. singhal 3

oil price volatility 6

precise storm track 1

behavior 1

gas firms with operations 1

return 17

energy sector.s 1

accuracy report 1

-0.0011 dwsj 1

p 8

interesting insights 1

announcements 10

facilities 14

weeks 1

risk factor 3

mention 1

1.02 katrina aug. 1

error rates in perspective 1

hurricanes with expected storm tracks 1

landfall location important variables 1

major confounding effects 1

bad news events 1

hurricane seasons 1

52.8 % on table 1

products 1

“non-event” 1

camille aug. 1

due 1

multiple factors 2

firms 45

category 4 hurricanes 1

regression 6

it.s hurricane season 1

interest 4

percentage 8

predicting storm intensity 1

close of markets on friday 1

eventual location 1

analysis 3

re-estimate 1

individual days accumulation windows 6

supply 53

market model returns 1

introduction 2

delivery of final products 1

abnormal returns for days 2

r. jammazi 1

final section summarizes 1

panel 22

vast majority of oil 1

results. 6 see 1

oil company returns 1

picks up.” 1

ivan sept. 1

flows 1

firm sample selection 1

hundreds of miles 1

general conclusions 2

news events 1

crude oil 1

paper 1

hour notice 1

knowledge 1

g. 2

danger 2

remaining sample firms 1

coefficient 15

eloise 1

index 6

notes 3

intensity 5

awareness 1

next 1

vivek sharma assistant professor 1

market adjusted abnormal returns 10

gas corridor because these hurricanes 1

peninsula 3

r. f. 1

conjecture 1

landfall day 3

price index 4

portfolios 3

confound 1

market revalues firms 1

return measures 1

0.65 wilma oct. 1

forecasting the storm track 1

e.g. 2

error rates 3

difficulty 2

hurricane 78

portfolio returns 1

corpus 9

storm.s position 1

average error 2

value 6

greece 1

finding 1

supply chain than previous research 1

intra-industry 2

differences 2

switching 1

papapetrou 2

3 tuesday 1

areas 3

acquisition of raw material 1

average .s 1

reliable common point 1

h. p. 1

production facilities 2

relationships 1

position 1

holding 2

panel b 8

oil shocks 2

rating 1

science 2

sunday landfall 1

“risk 2

gas supply chain 13

situations 1

company 3

connecting forecasts 1

vast majority of cases 1

platforms 3

labor 11

industry 11

timing 3

crsp as “petroleum refining” 1

august 8

4 monday 1

major hurricane strikes 1

hour 4

coast facilities 2

category hurricanes 1

tracks 2

supply chain facilities 4

yields 2

petro-canada 1

table 59

hurricane events with sunday 1

frederic sept. 1

others 1

saffir-simpson 1

2005 hurricane katrina 1

historical documentation 1

-0.58% 1

hurricane sample 1

firm.s 4

firm management 1

quaker 1

regressions 1

returns for those hurricanes 1

model abnormal returns 4

spot prices 3

labor day landfall 1

up.” 1

gas industry 2

impacts 1

dollar 1

v. r. singhal 3

percentage market model abnormal returns 1

b 9

result 2

“analysts see rise 1

forecasts 11

abnormal return measures 1

day before opal.s landfall 1

caribbean 1

two-tail 1

market participants 2

proxies for the threat 1

references 1

street journal 5

expected storm track information 1

shocks 8

significant results 1

remaining hurricanes with monday landfalls 1

stock market shifts behaviour 1

hurricanes with landfalls 1

evacuation of galveston 1

spot 3

largest observed average 1

plus 1

financial 2

journal story 1

respect 2

own prediction 1

wilcoxon two-tail significance level 1

see rise 1

stocks last winter 1

entire west coast 1

day hurricane alicia 1

.-weighted return 1

16 hurricanes including alicia 1

nhc.s historical error rates 1

u.s. gulf coast oil 1

gas firm 1

deviation 5

verifiable oil 1

wilcoxon tests 2

wall street journal stories 1

capture 1

-0.0004 f-statistic 1

significance levels 2

et al. 3

2004 storm track predictions 1

labor day landfalls 7

energy journal 1

dc 23

location 8

information transfers 2

adjusted abnormal return 1

alicia 9

http://www.nhc.noaa.gov/pastall.shtml. 1

rates 4

least noisy observations 1

forecasters that katrina 1

rank tests 1

process 4

preempt 1

s. 3

chain 48

coast region 8

yoon 1

official 1

market reactions 2

following insights 1

ibes analyst data 1

journal index 2

research 9

finance university 1

focus 2

young 1

panels b 1

center 2

previous discussion 1

carmen sept. 1

forecasting storm intensity 1

. 27

0.93 allen aug. 1

ivan 2

ability 3

significant explanatory variable 1

rita sept. 1

coefficients on the opv variable 1

archive 1

potential effects of confounding factors 1

multi-billion dollar losses 1

forecasters 1

street journal stories 1

market model abnormal return 6

accumulation windows 9

ibes 4

procedures 1

new orleans 3

ieee 1

corporation 2

. panel 1

past research 2

being “integrated oil 2

sector.s 1

s. ni 1

nyse listing 1

dearborn 3

power 2

business 1

raw material 1

30 months 2

decisions 1

locations 1

little concern 1

82.4 % on table 1

c. m. 1

period 11

dearborn vivek sharma assistant professor 1

y. 2

s. a. ross 1

previous section 1

hurricanes katrina 1

actual return for day t 1

firm.s ability 1

storm intensity 3

market adjusted abnormal return 1

e. 3

more variability 2

volatility 16

expected track 1

own prediction of the damage 1

financial economics 1

p. s. yoon 1

situations firms 1

company portfolio returns 1

ross 1

websites 1

supply chain 30

periods 4

brownsville 2

speed 1

operating 3

betsy sept. 1

0.51 andrew aug. 1

prior year 1

n. f. 1

levels 3

variation 2

approximate landfall 1

three days 1

estimates for thirteen 1

seven types of tropical cyclones. 1

vivek 1

small number of hurricane events 1

impending oil 2

abnormal return 11

apalachicola corridor 3

creation 4

center.s archive 1

tropical cyclone intensity 1

mention of gulf coast facilities 1

market activity 1

aloui 2

credence 1

carla 3

industry. 1

management science 2

rita 4

financial management 1

perceived threat 1

accounting university 1

caribbean as hurricanes 1

gulf of mexico on friday 1

investors 1

experience actual damage 1

predictions 3

hendricks 8

tuesday 12

chain disruption 3

reports forecasting substantial increases 1

michigan 3

wall street journal pertaining 1

important variables 1

jiao 1

concerning oil 1

section discusses major hurricanes 1

10% 2

existence 2

gulf coast hurricane 1

factor 6

different insights than the days 1

randomization 1

primary interest 1

eighteen major hurricanes 1

petroleum 2

exhibiting little variation 1

public 1

minus one category 1

celia aug. 1

including alicia 1

d. p. brown 1

storm danger 1

macroeconomic variables 1

possible supply disruptions 1

consistency 1

sharma 1

oil prices 10

potential source of noise 1

.s equal one 1

gas region 1

portion 1

dwsj coefficient 1

tuesday through saturday 6

forty years 1

recent major hurricanes 1

monday 21

day 81

mean market adjusted abnormal returns 1

gains 2

hours 9

standard deviation 5

potential risk factor 1

movement in oil spot prices 1

behaviour 1

univariate 2

abstract past research 1

previous studies 1

significant day 1

specific 1

price volatility 7

expanded accumulation windows 1

refining 4

journal of business 1

twenty-one hurricane sample 1

hurricane bret 1

it.s 1

sampling procedures 1

evacuation decisions 1

m. 2

hurricane threats 1

% 85

companies 4

other individual day 1

gall 3

hurricane.s category 1

larger portion 1

signal 1

impending hurricane 3

r. rhome 1

equity investor 1

jones 3

approach 1

u.s. economy 1

3 monday 5

order for the oil 1

wind speed 1

expanded using firms 1

cases 2

coming weeks 1

hurricane dc 2

labor day cause the models 1

mean day 2

et al 2

wilma oct. 1

non-zero 1

reactions 2

unannounced 1

revalues 1

.s range 1

t 2

et 5

days accumulation windows 6

threat 23

.i.rmt 2

expected damage 1

winans 2

entire gulf coast 1

market adjusted return abnormal return 1

firm aarit.s 1

most intense hurricanes 1

portfolio average .s 1

macroeconomics 1

y. m. wei 1

y. fan 1

significance 8

impact equity investors 1

sale 1

gulf coast facilities 2

crude oil prices 1

u.s. gulf coast panel 1

nonparametric wilcoxon tests 1

firm marit„s 1

chen et al 1

returns for days 1

gulf coast days 2

monday.s returns 1

initial sample 4

university 3

l. jiao 1

difficulties 1

gulf coast major hurricanes 1

combined coefficients 1

higher 1

importance of the supply chain 1

greatest chance of identifying oil 1

ar 4

percentage market adjusted abnormal returns 1

gas firms 13

returns for hurricanes with landfalls 1

tests 9

coast presence 1

hurricane threat 4

captures 1

results 26

integrated oil 1

dividend announcements 1

occurring causes returns 1

wind speeds 2

markets 4

reported abnormal returns 1

gas industry. 1

relative importance 1

good proxy 1

explanatory power 1

higher opv 1

pipelines 3

gulf coast areas 1

corresponding sixteen hurricane estimations 1

ro assistant professor 1

viable forecast 1

results for the day 1

likelihood 2

category at landfall 1

portfolio 16

tuesday.s 1

place drilling platforms 1

hurricanes “stalled” 1

two oil 1

one final variable 2

philipich assistant professor 1

greatest noise 1

supply chain glitches 2

details 2

“oil 1

lastly 1

financial analysts 1

katrina aug. 1

sunday morning 1

opal 8

gas firms.” 2

market value of the firm 1

coast supply chain 1

opv yields 2

chemical woes 1

date of landfall 2

3 sunday 3

magnitude 1

refineries 2

gas 100

0.79 betsy sept. 1

opal.s landfall 2

equation 1

jammazi 2

severe problem 1

hurricane event 1

announcements of disruptions 1

nonparametric tests limits 1

coast hurricane 1

4 thursday 1

friday.s returns 1

k. 4

equity investors 1

coast major hurricane 1

impact firm performance 1

coefficients on opv yields 1

inclusion 1

firm announcements 5

forty 1

abnormal returns ar 2

ecopetrol s.a. 1

coefficients on opv for day 1

oil stocks 1

daily returns from crsp 1

refining” 1

“oil companies 1

lower returns 1

charley aug. 1

1 being 1

storm track information 1

only significant reaction 1

p. 6

assistant professor 3

post 1

laux 2

market.s reaction 8

opv variable 1

economy 1

bad news event 1

market model abnormal returns ar 1

2005 panel 1

extent 1

d. 3

adjusted return abnormal return 1

gas facilities 3

gas companies 2

landfall date 1

discusses 1

measures 1

thursday 4

completeness 1

landfall locations 1

greatest chance 1

track predictions 1

opv 60

adjusted abnormal returns 10

estimated coefficients on opv 1

table 1 shows 1

tropical cyclone 2

onshore refineries 2

empirical results 1

portfolio abnormal return 1

reports 9

j. p. 1

e. 2001 oil price shocks 1

regression results 4

research shows 1

reversal 1

p 10% 1

response 3

track 9

long-run stock price performance 1

significant model 1

p 1% 7

maximum of twenty-one hurricanes 1

producers price index for oil 1

preponderance of both onshore 1

sadorsky 2

concentrated table 1

parsons 3

various accumulation windows 1

cong et al 1

post-1986 time period 1

news 9

hurricanes “stalled” in the gulf 1

intense hurricanes 1

hurricanes reaching land 1

market prices 1

preponderance 2

experience 1

inter-firm information transfers 1

possibilities 3

individual 1

common point 2

portfolio-level market adjusted abnormal returns 1

forecast error rate 1

1.05 panel b 1

noisy observations 1

previous research 3

using firms 1

tests for the combined coefficients 1

top model 1

weather models as of friday 1

region 12

gulf coast major hurricane 1

level 6

sources 1

pre-announcement 1

model abnormal return 6

center.s 1

87.1 % on table 1

season 1

dissipates 1

ieee spectrum 1

none 1

v. 3

section summarizes 1

holding period in order 1

two-day market adjusted abnormal return 1

analysts producing earnings forecasts 1

d. parsons 1

smallest yearly errors 1

observed average 1

supply chain of oil 1

management university 1

journal stories 1

rhome 1

three-day window 1

-0.0009 dwsj 1

been little concern 1

location important variables 1

number of days each hurricane 1

landfall dates 1

crsp data 1

several countries 1

filter 1

increases 2

-0.0018 dwsj 2

f-statistics 2

18 knots 1

ten hurricanes 2

sign rank tests 1

cyclones 1

sic industry classification 1

journal of macroeconomics 1

hurricane celia 2

offshore gulf coast oil 1

twenty-one hurricanes 4

substantial intersection of firms 1

days. abnormal returns 1

spring 1

intersection 1

factors 6

dependent variable 3

reaction hurricanes 1

chain lead 1

analyst 3

bad news 1

3 saturday 2

coast hurricane events 1

morning 1

last year 1

stock market 18

indication 2

subsequent tests 1

recommend” 1

classification 3

management 9

approximate landfalls 1

gulf coast 10

market.s response 1

hurricane alicia 1

decrease 1

hurricane events 5

f. 2

single day 1

studies 1

0.71 dennis july 1

corridor variables 1

effects 6

potential disruption 1

possible impact 1

landfall hurricane 3

average firm 1

error rate 1

specific firms 1

landfall location 4

table 1 details 1

expected impact 1

kirk 1

date 6

supply chains 3

delivery 2

positive earnings news 1

j. r. rhome 1

nhc.s 1

higher at landfall 1

sixteen 3

landfall errors 1

equity risk 1

significant negative abnormal returns 2

portfolio of oil 1

portfolio average 1

ferderer 2

subject 1

panel b of tables 2

13 european countries 1

individual firm marit„s 1

price volatility shocks 1

coefficient on dwsj 1

yearly error rates 1

galveston 48 hours before landfall 1

individual firm aarit.s 1

negative threat 1

wilcoxon sign rank tests 1

storm track 3

energy 9

figure 3

story 8

1.04 celia aug. 1

month 2

bankruptcy 1

twenty-one sample firms 2

two-day market model abnormal return 1

cyclone report 1

being 3

p 1 % level 3

simultaneous effects 1

kirk philipich assistant professor 1

“stalled” 1

48 hours before landfall 1

street journal index 2

when 1

c of table 1

mean days 1

-0.63% 1

attempts 2

historical error rates 1

cyclone 4

% table 2

value-weighted market portfolio 1

t. 2

market shifts behaviour 1

chemical woes” 1

producers price index 4

oct. 3

combination of days 1

significant abnormal returns 2

overall significance 1

previous friday.s returns 1

windows 10

coast 42

inclusion of these hurricanes 1

model 19

panel c 3

noisy events 1

nautical 1

july 1

national 3

larsen 2

policy 1

association between supply chain glitches 1

oil stocks last winter 1

disruption 8

market’s 1

leads 2

oil industry 2

finance 2

addition 1

firm annual reports 1

storm.s 1

operations 5

days as gulf 3

tropical storms in the gulf 1

investor 1

market response 2

entire supply chain 1

bret aug. 1

empirical analysis 2

substantial increases 1

landfall south 2

risk 7

“pure” day 3

p 5 % level 1

selecting 2

0.83 panel b 1

thirteen 1

terms 1

day landfalls 7

track uncertainty 1

woes 1

hurricane opal.s landfall 1

observed reaction 1

risk management 1

andrew aug. 1

l. h. p. 1

u.s. 11

concentrated table 1 major hurricanes 1

a. ross 1

monday within the oil 1

storm track forecasts 1

gulf coast supply chain 1

additional empirical evidence 1

individual day 1

nhc 72 hour 1

official nhc forecast error rate 1

ashore.6 hurricane celia 1

discusses major hurricanes 1

rank 1

estimations 6

accumulated abnormal returns 1

shows 4

dwsj 10

andrew 1

potential loss 1

“non-event” day 1

% panel b 2

“we 1

losses 4

widespread damage 1

map 1

examination 1

chinese oil company returns 1

benefit 1

p 10 % on table 2

study 4

drilling platforms 3

sign 1

sample of major hurricanes 1

lang 2

negative impact 1

affect 1

corridor 49

tropical storm 2

time period 4

stock values 1

stulz 2

christi 9

number 8

errors 2

number of events 1

benefit from a threat 1

case 1

landfall 64

saffir-simpson hurricane scale 1

short lead times 1

impending supply chain disruptions 1

regime 1

summary 1

p 5 % levels 1

error 7

supply chain presence 3

energy policy 1

0.93 elena sept. 1

day cause 1

major domestics if stock prices 1

f-statistic 6

deaths 1

daily crsp data 1

causes 1

observation 1

tropical storms 2

combination 1

p 5 % on table 2

returns on the preceding friday 1

“integrated oil 3

largest negative returns 1

actual day 1

equity risk of the firm 1

confounding 1

average .s range 1

national hurricane center.s archive 1

gulf 52

models 2

quarterly earnings 1

remaining eighteen major hurricanes 1

addition of a “non-event” day 1

frederic 1

crude 2

r. 13

event 4

coast panel 1

profits over the prior year 1

leaves ten hurricanes 1

market’s reaction hurricanes 1

firm.s stakeholders 1

relationships between oil price shocks 1

scale 1

news event 1

returns table 1

proxy 3

vast majority 2

forecasting substantial increases 1

stock returns 2

pertaining 1

uncertainty 1

negative market reactions 1

0.99 panel c 1

excludes 4

bret 3

forecast 5

monday.s 1

a. ratti 2

causes returns 1

event study 1

daily return 1

r. a. ratti 2

separate abnormal returns 1

refining firms 1

255 daily returns 1

revalues firms 1

extended period 1

potential threat 1

real danger 1

speeds 2

portfolio-level market model abnormal returns 1

category 3 hurricanes. 1

impending storm 1

reaching land 1

point 2

monday landfall 2

i.s 3

market model abnormal returns 4

major hurricane threat 3

performance 3

switching approach 1

ratti 3

forecasting 3

great difficulty 1

required use 1

more negative mean returns 1

expected impact on the oil 1

months.” 1

available information 1

estimated coefficient 1

firm average 1

table 2 results 1

four hurricanes 1

value creation process 4

63.6 % on table 1

monitoring 1

months 5

noisy returns 1

earnings 9

results. 1

abnormal return of -0.47 % 1

date of landfall day 3

s. yoon 1

significant level 1

is 1

negative abnormal returns 2

journal pertaining 1

limits 2

goldsmith 2

negative day 1

transfers 2

good news 1

r. roll 1

profits rise 2

association 1

operating profits rise 2

empirical analysis from china 1

marit„s 1

potential effects 1

quarterly operating profits rise 2

landfall forecasts 1

track forecasts 1

merger activity within the oil 1

market value 1

supply chain disruptions 5

using market model abnormal returns 1

firm websites 1

allen 3

entire west coast of florida 1

dearborn abstract past research 1

national hurricane center 1

competitors 1

nonparametric 2

general economic activity picks up.” 1

650 pipelines 1

two-tail significance level 1

actual landfall location 1

variability 5

pre-emptive market reaction 1

4 friday 1

shifts behaviour 1

past 1

occurring disruptions 1

street journal story 1

gas portfolios 2

split 2

returns 90

1-5 rating 1

negative returns for the hurricanes 1

analysts 6

major hurricanes 32

confounding factors 1

enhancements 2

.s 4

tests limits 1

c 4

accounting 1

substantial intersection 1

impact 16

gulf region 1

rit 4

firm performance 1

“petroleum refining 1

% levels 1

gas firms” 1

hurricane center forecast accuracy report 1

supply disruption 1

mexico 3

overall significant model 1

significant reaction 1

disruptions in firm supply chains 1

evidence 2

monday reports 1

severity 1

chain glitches 2

singhal 8

small number 1

excluding labor day 1

center forecast accuracy report 1

profits 6

carmen 2

anticipation of a potential loss 1

industry classification 2

oil 139

preceding friday 1

price shocks 5

missing risk factor 1

excludes hurricanes 4

insignificant damage 1

landfall south of apalachicola 1

cash 1

various windows 1

knabb et al. 1

use the twenty-one major hurricanes 1

results for day 1

s.a. 1

range of .s 1

distance 2

rise 4

dependent variable for completeness 1

entire industry 1

combined coefficient 6

beulah sept. 1

firm supply chains 1

dday 14

stock market participants 1

different category hurricanes 1

power of subsequent tests 1

opal oct. 1

observations 2

oil price volatility shocks 1

coast major hurricanes 1

minimal hurricane strength until saturday 1

contagion in intra-industry information transfers 1

real stock returns 1

firm announcement 1

coast areas 1

chemical corporation 1

sharma assistant professor 1

european countries 1

close monitoring 1

sample firms 8

detection 1

aug. 8

notice 1

prediction of the timing 1

viable forecast that the threat 1

73.3 % on table 1

accurate forecast 1

pennsylvania crude oil 1

movement 2

exact track 1

hurricane wind speeds 1

eventual landfall 1

focus in this research 1

starks 1

future cash flows 1

production region 1

florida 5

-0.0003 f-statistic 1

impact stock prices 2

% level 4

day of landfall 1

regime switching approach 1

mean returns 1

e.g. industry earnings news 1

coefficient on the dummy variable 1

final section summarizes the paper 1

scrutiny 1

attempt 1

sixteen-year 1

creation process 4

next section discusses major hurricanes 1

estimated coefficient on opv 1

most recent major hurricanes 1

hurricane center.s archive 1

coefficients shows 1

more credence 1

chronological list 1

best available information 1

respects 1

careful scrutiny 1

kaul 3

chemical 3

gas supply chain disruption 2

estimation 1

increments 1

hurricane damage 1

accuracy 1

west coast 4

sunday 17

types 1

-0.0010** f-statistic 2

damage 6

window 3

stock markets 2

larger negative market reactions 1

other sources 1

“petroleum refining firms 1

historical record 1

many previous researchers 1

independence 1

tropical storm on the friday 1

nhc forecasts 3

possible major hurricane threat 1

results on panel 1

example 3

specific reports 1

abnormal returns table 1

different insights 1

additional returns for day 1

accumulation 9

domestics 1

storm track predictions 1

most significant results 1

reported spot prices 1

measure 1

landfall storm track forecasts 1

holding period 2

primary source 1

earnings news 3

producers price 1

endangered galveston 1

monday landfalls 6

threats 2

see 3

north 1

predicting landfall 1

terms of predicting storm intensity 1

category 17

sample selection 2

j. 6

employment in greece 1

long-term underperforming stocks 1

knabb 2

stock prices 6

u.s. gulf coast 4

r. d. 1

landfall south of corpus christi 1

firms. 1

hurricane estimations 1

landfalls within the oil 2

mean market model abnormal return 1

tropical cyclones 1

economic 1

hurricane strength 1

effort 1

weather models 1

time 12

seasons 1

0.0216*** opv 1

.i 1

strength 2

gas production facilities 2

firm.s supply chain 2

public evacuation decisions 1

operating performance 1

coast days 2

weather 1

impending gulf coast major hurricane 1

zero 1

u.s. gulf coast days 2

primary oil 1

lease areas 1

analysts. 2

5 sunday 1

possible error 1

volatility shocks 1

portfolio-level 1

dummy 4

journal of operations management 1

captures the market.s reaction 1

0.0213*** opv 2

sept. 9

gulf coast of florida 1

saturday 15

115 drilling platforms 1

insights 4

regnier 5

methodology 2

hurricane center 1

leaves 1

lead 3

explanatory variable 1

refining industry classification 1

individual significance 1

usable sample of hurricanes 1

portfolio decreases 1

young ro assistant professor 1

record 1

might 2

producers 5

order 7

0.89 camille aug. 1

measuring the market.s response 1

following 2

fewest number 1

friday 7

lesser extent 1

data 2

values 1

more noise 1

gulf coast hurricane events 1

increased quarterly earnings 1

r. g. 1

fan 1

maximum 1

differentiates 1

nyse 4

land on monday 1

stocks 3

katrina 7

competitive intra-industry effects 1

merger 1

gulf coast presence 1

estimated coefficients 3

discussion 1

1.59 bret aug. 1

delivery of oil 1

lee et al. 1

yearly errors 1

landfalls 36

positive impact on returns 1

0.47 ivan sept. 1

lower returns than for hurricanes 1

central gulf 1

timing of the hurricane 1

betsy 1

1.06 eloise sept. 1

market reaction 4

filter out noise 1

reaction 19

labor day 1

supply disruptions 1

employment 1

noisy signal 1

daily market model abnormal return 1

separate abnormal returns from day 1

positive impact 1

“petroleum 3

final products 1

affecting abnormal returns 1

list 1

franklin 3

company management 1

facilities. 1

difference 1

al 2

eight portfolio average .s 1

sectors 2

october 2

section 5

variables 4

sic 1

last winter 1

size 1

hurricane landfall category landfall hurricane 3

estimates 1

cyclone intensity 1

production 4

eventual landfalls 1

significance level 1

impacts the stock market.s reaction 1

observed market reactions 1

0.88 hilda oct. 1

pennsylvania 1

avg 3

apalachicola 8

hereby 1

categories 1

days 42

firms experience actual damage 1

sample of oil 1

potential source 1

stories 3

storm tracks 2

several factors 1

chen 2

cash flows 1

street 10

dennis 2

chain disruptions 5

oil spot prices 1

gas production region 1

16 hurricanes 1

eloise sept. 1

wall street journal 5

stock market.s awareness 1

miles 2

new 3

energy economics 5

supply chain lead 1

“analysts 2

other factors 1

professor 3

new insights 1

lead times 1

gas corridor results 1

market model 2

underperforming stocks 1

operations management 2

essence 1

little impact 1

activity picks up.” 1

histories 1

land near new orleans 1

category landfall hurricane 3

shifts 1

three 1

value creation process these firms 1

shareholder wealth 1

j. l. jiao 1

chain presence 3

gas facilities. 1

use 4

conclusions this research 1

onshore 4

t-tests 2

gas industry profits 1

empirical evidence 1

week 3

yielding 1

i.s daily return 1

minus 1

very close 1

h. 1

variability of oil prices 1

chance 1

economic activity picks up.” 1

prediction 3

j. l. 1

contagion 2

announcement 1

remaining hurricanes 1

gas lease areas 1

disruptions 17

firm specific reports 1

80% 1

volatility affect both macroeconomic variables 1

hurricane track uncertainty 1

systematic risk 1

journal of financial economics 1

p. brown 1

gas corridor while the market 1

volatility affect 1

beta beulah sept. 1

“risk factor” 2

% notes 2

detection of significant abnormal returns 1

friday.s 1

majority 2

crude oil shocks 1

eventual landfall location 1

volatility period 1

hilda oct. 1

examples 1

daily market adjusted abnormal returns 1

major domestics 1

forecast accuracy report 1

approximate sixteen-year average 1

dividend 1

researchers 1

gulf coast panel 1

china petroleum 1

africa 1

fewest number of months 1

panels 1

gas corridor 42

prices 22

low volatility period 1

orleans 3

cyclones. 1

merger activity 1

selecting oil 1

variable 14

journal of finance 1

negative mean returns 1

one analyst 1

final variable 2

impending hurricanes 1

observed factors 1

events of interest 1

sample size 1

forces 1

risk factor for these oil 1

sixteen-year average 1

investigation 1

previous regressions 1

offshore oil 1

primary factor 1

corpus christi 9

state corporation 1

conjunction 1

progress 1

potential impact 1

160 nautical miles 1

stock market activity 1

analyst data 1

more variation 1

oil price shocks 5

hurricane.s 5

events 9

abnormal returns 42

nhc 7

eighteen 1

stock markets in the u.s. 1

factor” 2

industry profits 1

earnings forecasts 3

preempt any impact 1

strikes 2

affected firms 1

a. 3

economics 6

elena 2

hurricane katrina 3

3 thursday 3

major hurricane 4

participants 2

5% 3

major hurricane.s landfall 1

supply chain disruption 3

combined coefficient on opv 4

more severe problem 1

little variation 1

countries 2

negative returns 4

street journal pertaining 1

one day 1

stock 39

crsp 6

aforementioned alicia 1

relative importance of competition 1

estimation period 1

72 hours before landfall 2

monthly producers price index 1

nautical miles 1

wilma 2

significant returns 1

identifying oil 1

model abnormal returns ar 1

intra-industry information transfers 1

chains 3

category 3 hurricane 1

overriding concern 1

-0.47 % for day 1

close 3

1.05 rita sept. 1

“integrated 3

carla sept. 1

texas 2

.-weighted 1

twenty-one major hurricanes 4

doubt 1

mean 8

daily returns 2

actual return 1

gulf coast hurricanes 2

saturdays 1

gas facilities. 3 tropical cyclones 1

dependent variables 1

impending threat 2

market return 1

g. kaul 1

proxies 1

laux et al. 1

twenty-one hurricane events 1

years 2

non-zero standard deviation 1

tuesdays 1

loss 1

brown 1

track information 1

spectrum 1

gas corridor variables 1

woes” 1

hurricane season 1

ecopetrol 1

crsp petroleum refining industry classification 1

long-run 1

one 2

interest rates 1

wednesday 3

additional returns 1

two landfall possibilities 1

gas company portfolio returns 1

24 hours before landfall 1

more negative returns 1

greater threat 2

limited sample size 1

relationship 1

equity 3

range 4

quarter 1

..dwsj 3

3 wednesday 3

ten 2

other hurricanes 1

other sources of “noise” 1

selection 2

primary goal 1

ni 1

effect 7

gas supply chain facilities 3

beta 3

significant relationship 1

common knowledge 1

galveston 7

stock market response 1

wilcoxon 4

79.5 % on table 1

median tests 1

hurricanes including alicia 1

dollar losses 1

72 hours before landfall errors 1

times 2

material 1

year 3

lee 2

stakeholders 2

aarit.s 1

standard 5

accumulated market model returns 1

approximate average 1

annual reports 1

additional evidence 1

perspective 1

actual supply chain disruption 1

t. starks 1

corridor results 1

groups 1

depressions 1

become zero 1

gulf coast region 8

cong 2

dennis july 1

announced enhancements 1

beta charley aug. 1

univariate tests 2

days. 1

industry earnings news 2

day landfall 1

k. b. 3

0.91 frederic sept. 1

hurricanes alicia 5

location of both onshore 1

report 2

company returns 1

coefficient on opv 1

sixteen of these major hurricanes 1

abstract 1

major 12

following regression 1

use of nonparametric tests limits 1

place 1

volatility of crude oil prices 1

panel b of table 1

availability 1

hundreds 1

gas supply chain lead 1

19 knots 1

competition 1

l. 4

day t 2

first 2

hurricanes. 2

information 5

shareholder 1

al. 3

only reliable common point 1

portfolio avg 3

dummy variable 4

noise 7