Spreads, depths, and quote clustering on the nyse and Nasdaq: Evidence after the 1997 sec rule changes Kee H. Chung,a,* Bonnie F. Van Ness,b Robert A. Van Nessb



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References

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Barclay, M., Christie, W., Harris, J., Kandel, E., Schultz, P., 1999. The effects of market reform on the trading costs and depths of Nasdaq stocks. Journal of Finance 54, 1-34.


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Table 1

Descriptive statistics for 482 matched pairs of Nasdaq-listed and NYSE-listed stocks


To obtain a matched sample of Nasdaq and NYSE stocks, we first calculate the following composite match score (CMS) for each Nasdaq stock in our sample against each of 2,912 NYSE stocks in the TAQ database: CMS = [(YkN - YkY)/{(YkN + YkY)/2}]2, where Yk represents one of the four stock attributes, superscripts, N and Y, refer to Nasdaq and NYSE, respectively, and  denotes the summation over k = 1 to 4. For each Nasdaq stock, we pick the NYSE stock with the smallest score. We include in the study sample only those pairs (482 pairs) with a composite match score of less than three. We measure share price by the mean value of the midpoints of quoted bid and ask prices, and trade size by the average dollar transaction during the study period. The number of trades is the total number of transactions during the study period. We measure return volatility by the standard deviation of daily returns calculated from the daily closing midpoints of bid and ask prices.

Variable

Exchange

Mean

Standard


Deviation

Percentile



Min

25

50

75

Max

Share Price

($)
Number of Trades


Trade Size

($)
Return Volatility


Nasdaq


NYSE
Nasdaq

NYSE
Nasdaq

NYSE
Nasdaq

NYSE

29.92

30.02
20643



19066
41707

44982
0.0319

0.0284

18.43


18.20
31328

31539
27045

26962
0.0144

0.0117

2.03

1.77
437



359
3902

3945
0.0008

0.0014

15.24


15.53
5395

4668
20941

23386
0.0226

0.0204

26.87

28.05
10326



8875
37632

41828
0.0292

0.0263

41.42


40.71
20918

18905
56922

62130
0.0383

0.0339

129.85

101.31
267142



336715
207165

130616
0.0913

0.0841




Table 2

The quality of the sample match


To assess the quality of our matched sample, we use two regression models. First, we regress measures of execution costs against the four stock attributes using our sample of Nasdaq stocks and the matched sample of NYSE stocks. We use three measures of execution costs: the quoted spread, effective spread, and realized spread. The quoted spread is calculated as (Ait - Bit)/Mit, where Ait is the posted ask price for stock i at time t, Bit is the posted bid price for stock i at time t, and Mit is the mean of Ait and Bit. The effective spread measures the execution cost actually paid by the trader. The realized spread measures price reversals after trades. For each stock, we calculate the average quoted, effective, and realized spreads using all the time-series observations during the three-month study period and then use these averages in the regressions. We use the reciprocal of share price, number of trades, and trade size in the regressions. The results from these regressions help us assess whether the four stock attributes are important determinants of the cross-sectional variation in spreads for our sample of stocks. Second, we perform regression analysis using differences in the variables (i.e., spreads and four stock attributes) between our Nasdaq and NYSE stocks to determine whether there exists any difference in spreads between our Nasdaq and NYSE stocks, after controlling for their differences in share price, number of trades, trade size, and risk. We measure share price by the mean value of the midpoints of quoted bid and ask prices, and trade size by the average dollar transaction during the study period. The number of trades is the total number of transactions during the study period. We measure return volatility by the standard deviation of daily returns calculated from the daily closing midpoints of bid and ask prices. Absolute values of White's (1980) t-statistics are reported in parentheses.

Independent Variable

Quoted Spread



Effective Spread


Realized Spread


Nasdaq

NYSE


Nasdaq - NYSE

Nasdaq

NYSE


Nasdaq - NYSE

Nasdaq

NYSE


Nasdaq - NYSE

Intercept


1/(Share Price)
1/(Number of Trades)
1/(Trade Size)
Return Volatility

Adjusted R2

F-value

0.0024


(5.05**)

0.0325


(3.85**)

9.0337


(11.24**)

48.0834


(3.68**)

0.0629


(4.54**)
0.5736

162.76**

-0.0002

-0.93


0.0505

(18.67**)

4.9110

(12.96**)



65.505

(14.20**)

0.0455

(5.79**)
0.9094



1207.37**

0.0025


(12.00**)

-0.0001


(1.31)

-0.0001


(1.82)

0.0001


(0.55)

0.0037


(0.14)
0.0024

1.29

0.0019

(6.04**)


0.0224

(4.04**)


5.3361

(10.08**)

54.4785

(6.32**)


0.0385

(4.21**)
0.6826

259.62**

-0.0005


(3.46**)

0.0442


(29.10**)

2.8764


(13.49**)

36.6963


(13.93**)

0.0508


(11.49**)
0.9465

2127.47**


0.0022


(15.62**)

-0.0001


(1.82)

-0.001


(1.15)

0.0001


(1.18)

0.0038


(0.21)
0.0029

1.35

0.002

(6.45**)


0.0237

(4.44**)


5.2325

(10.26**)

46.0141

(5.55**)


0.0378

(4.30**)
0.6698

244.95**

-0.0003


(3.14**) 0.0447

(38.39**)

1.9038

(11.67**)



28.164

(13.98**)

0.0237

(7.02**)
0.9605



2928.65**

0.003


(22.10**)

-0.0001


(1.54)

-0.0001


(1.16)

0.0001


(1.37)

0.0067


(0.38)
0.002

1.24


*Significant at the 5% level.

**Significant at the 1% level.


Table 3

Comparison of spreads between Nasdaq stocks and NYSE stocks


This table reports the average Nasdaq and NYSE spreads for our whole sample and for each quartile based on share price, number of trades, trade size, and return volatility. The quoted spread is calculated as (Ait – Bit)/Mit, where Ait is the posted ask price for stock i at time t, Bit is the posted bid price for stock i at time t, and Mit is the mean of Ait and Bit. The effective spread measures the percentage execution costs actually paid by the trader. The realized spread measures price reversals after trades. The table also reports the results of paired comparison t-tests for Nasdaq spread and NYSE spread. The tests show whether the mean difference is significantly different from zero. We measure share price by the mean value of the midpoints of quoted bid and ask prices, and trade size by the average dollar transaction during the study period. The number of trades is the total number of transactions during the study period. We measure return volatility by the standard deviation of daily returns calculated from the daily closing midpoints of bid and ask prices. All numbers are in percentages (i.e., 0.014891 is reported as 1.4891).

Quartile based on





Quoted Spread


Effective Spread


Realized Spread



Nasdaq Spread

NYSE Spread

Nasdaq – NYSE

t-stat

NASDAQ Spread

NYSE Spread

Nasdaq - NYSE

t-stat

Nasdaq Spread

NYSE Spread

Nasdaq - NYSE

t-stat

Share Price



Q1

Q2

Q3



Q4

1.4891

0.9460


0.7731

0.6453


1.4115

0.6617


0.4727

0.3418


0.0776

0.2842


0.3004

0.3035


1.444

9.854**


13.139**

11.485**


1.2029

0.7230


0.5757

0.4727


1.0495

0.4869


0.3407

0.2543


0.1534

0.2361


0.2350

0.2185


4.316**

10.597**


15.533**

12.101**


1.1534

0.7051


0.5609

0.4556


0.8765

0.3782


0.2610

0.1830


0.2769

0.3269


0.3000

0.2726


7.707**

15.676**


19.919**

16.054**

Number of Trades


Q1

Q2

Q3



Q4

1.4884

1.058


0.8194

0.4874


1.0137

0.7933


0.6847

0.3977


0.4748

0.2648


0.1347

0.0897


10.426**

7.963**


3.940**

7.380**


1.0840

0.8054


0.6632

0.4219


0.6912

0.5847


0.5189

0.3380


0.3928

0.2207


0.1443

0.0839


12.843**

10.880**


7.087**

7.098**


1.0450

0.7863


0.6404

0.4036


0.5548

0.4775


0.4154

0.2524


0.4901

0.3089


0.2249

0.1512


16.113**

16.081**


11.978**

17.622**

Trade Size


Q1

Q2

Q3



Q4

1.5112

0.9209


0.7326

0.6890


1.4070

0.6572


0.4329

0.3910


0.1042

0.2637


0.2997

0.2980


1.917

9.557**


13.059**

10.643**


1.2271

0.7123


0.5457

0.4893


1.0469

0.4825


0.3205

0.2818


0.1802

0.2298


0.2252

0.2075


4.955**

11.252**


15.587**

10.500**


1.1734

0.6912


0.5323

0.4783


0.8695

0.3840


0.2413

0.2042


0.3039

0.3072


0.2909

0.2742


8.340**

15.273**


19.754**

15.801**

Return Volatility


Q1

Q2

Q3



Q4

0.7499

0.9076


0.9834

1.2170


0.4786

0.6499


0.7328

1.0321


0.2713

0.2577


0.2507

0.1849


11.351**

6.903**


8.192**

3.822**


0.5482

0.6980


0.7683

0.9636


0.3325

0.4716


0.5381

0.7935


0.2157

0.2264


0.2302

0.1701


14.712**

9.097**


9.825**

5.483**


0.5342

0.6803


0.7412

0.9230


0.2648

0.3778


0.4213

0.6387


0.2694

0.3025


0.3200

0.2844


17.578**

12.223**


13.790**

9.637**

Whole Sample

0.9641

0.7228

0.2412

13.345**

0.7442

0.5335

0.2107

17.407**

0.7193

0.4253

0.2941

24.805**


Significant at the 5% level.

**Significant at the 1% level.


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